bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prolonged breastfeeding protects from obesity by hypothalamic action of hepatic FGF21
Authors: Pena-Leon Veronica , Folgueira Cintia , Barja-Fernández Silvia , Pérez-Lois Raquel , Da Silva Lima Natália , Martin Marion , Heras Violeta , Martinez-Martinez Sara , Valero Paola , Iglesias Cristina , Duquenne Mannon , Al-Massadi Omar , Beiroa Daniel , Souto Yara , Fidalgo Miguel , Sowmyalakshmi Rasika , Guallar Diana , Cunarro Juan , Castelao Cecilia , Senra Ana , González-Saenz Patricia , Vázquez-Cobela Rocío , Leis Rosaura , Sabio Guadalupe , Mueller-Fielitz Helge , Schwaninger Markus , López Miguel , Tovar Sulay , Casanueva Felipe F. , Valjent Emmanuel , Diéguez Carlos , Prevot Vincent , Nogueiras Rubén , Seoane Luisa M. 
Published: July 2022

AbstractEarly-life determinants are thought to be a major factor in the rapid increase of obesity. However, while maternal nutrition has been extensively studied, the effects of breastfeeding by the infant on the reprogramming of energy balance in childhood and throughout adulthood remain largely unknown. Here we show that delayed weaning in rat pups protects them against diet-induced obesity in adulthood, through enhanced brown adipose tissue thermogenesis and energy expenditure. In-depth metabolic phenotyping in this rat model as well as in transgenic mice reveals that the effects of prolonged suckling are mediated by increased hepatic fibroblast growth factor 21 (FGF21) production and tanycyte-controlled access to the hypothalamus in adulthood. Specifically, FGF21 activates GABA-containing neurons expressing dopamine receptor 2 in the lateral hypothalamic area and zona incerta. Prolonged breastfeeding thus constitutes a protective mechanism against obesity by affecting long-lasting physiological changes in liver-to-hypothalamus communication and hypothalamic metabolic regulation.
An efficient vanadium/cobalt metaphosphate electrocatalyst for hydrogen and oxygen evolution in alkaline water splitting
Authors: Xu Kai , Guo Wen , Zhang Hongyan , Zhou Hao , Zhu Zizheng , Zhou Yilin , Liang Wenjie , Yu Tingting , Zhao Hong , He Maoshuai , Yang Tao 
Published: July 2022

A Co-based electrocatalyst was synthesized through a facile soaking–phosphating method, which requires small overpotentials of 96 mV and 368 mV for obtaining 10 mA cm−2 in hydrogen evolution and 100 mA cm−2 in oxygen evolution, respectively.
An adaptive lightweight seq2subseq model for non‐intrusive load monitoring
Authors: Yang Xiaomei , Yang Lin , Xiao Xianyong , Wang Yang , Zhang Shu 
Published: July 2022

AbstractNon‐intrusive load monitoring (NILM) is an important technology for deeply mining consumers' internal electricity consumption information, which can improve the level of awareness of the load and significantly improve the demand‐side management capability of the smart grid. For a long time, traditional NILM faces the challenge of huge data, long training time and low accuracy. To address this issue, this paper proposes an adaptative lightweight seq2subseq model. The model adaptively determines the optimum window length of the active power segment to extract the appliance characteristics and thus reduces the redundant data to construct the appliance‐level‐seq2subseq model. The proposed model significantly improves the ability to extract and utilize information. At the same time, transfer learning is used to ban the training of appliance models with similar characteristics, further reducing model complexity and training time. The experimental results based on the REDD dataset verify the method's effectiveness. Compared with the seq2seq and seq2point models, the proposed model achieved better accuracy and F1 score, up to 98.10% and 90.29%, respectively. At the same time, the proposed method is further verified on UK‐DALE, which proves that the proposed method has good portability and robustness.
Integrated current balancing cells based IPOP bidirectional CLLC resonant converter modules for high‐power applications
Authors: Ahmad Ubaid , Cha Honnyong , Ro Jong‐Suk 
Published: July 2022

AbstractThis paper proposes an integrated current balancing (ICB) cells‐based input parallel output parallel (IPOP) bidirectional CLLC modules. The IPOP system based on the CLLC modules inherent all of the good features of a single CLLC module including zero‐voltage and zero‐current switching (ZVZCS) for the inverter and rectifier stage. Besides, the IPOP configuration is a better approach to utilize low‐power rating modules for high‐power applications. However, tolerances in the tank circuit parameters cause an acute imbalance in modules currents. Therefore, the equal power distribution among the IPOP CLLC modules is an important issue that needs to be addressed. Different control and passive current sharing techniques have been proposed, but they cause increase in component count, cost, complexity, and magnetic volume of the IPOP converters. This paper integrates the already present resonant inductors of the bidirectional CLLC modules to evenly share the two currents at the input as well as at the output of the converters under the open‐loop condition with substantial tolerances of in the tank circuit parameters. Moreover, the proposed ICB cells generate sufficient resonant inductances for the respective tank circuits, simultaneously. No additional active or passive components are introduced in the system; thus, it does not increase the cost, complexity, and magnetic volume of the IPOP CLLC modules. Two types of cores (UU‐ and EE‐cores) based ICB cells are analysed with current sharing performance. To verify the effectiveness of the ICB cells, a 4.9‐kW laboratory hardware prototype was built and tested.
Welchen Einfluss hatte der Lockdown 2020 auf die Inanspruchnahme einer zentralen Notaufnahme durch psychiatrische Notfallpatienten
Authors: Ullrich Heiko , Kirchner Heribert , Hulsmans Nik , Müller Helge , Pajonk Frank-Gerald B. 
Published: July 2022

Zusammenfassung
Ziel der Studie Die aktuelle Coronaviruspandemie (COVID-19-Erkrankung) stellt die Gesundheitssysteme weltweit vor große Herausforderungen. Speziell psychiatrische Patienten sind in besonderer Weise von Lockdown-Maßnahmen betroffen. Die Häufigkeit psychiatrischer Notfälle ist ein sensibler Indikator für die psychische Belastung. Das Ziel dieser Arbeit war die Identifizierung von Auswirkungen während des durchgeführten Lockdowns auf psychiatrische Notfallvorstellungen.
Methodik Es erfolgte im Jahr 2021 eine retrospektive Erhebung aller psychiatrischen Notfallkontakte in der ZNA. Das Jahr 2019 diente als Referenzjahr.
Ergebnisse Es fand sich ein Rückgang der psychiatrischen Fallzahlen. Des Weiteren konnte eine Veränderung in der Altersstruktur und der Diagnoseverteilung beschrieben werden.
Schlussfolgerung Es lassen sich z. T. deutliche Auswirkungen durch den Lockdown auf psychiatrische Notfälle im Setting einer Notaufnahme beschreiben. Entgegen der Hypothese fielen die Fallzahlen.
Construction enterprises’ adoption of green development behaviors: an agent-based modeling approach
Authors: Li Xingwei , Li Jingru , Huang Yicheng , He Jinrong , Liu Xiang , Dai Jiachi , Shen Qiong 
Published: July 2022

AbstractMany previous studies have used performance evaluation to explore the impact of environmental regulation on the green development of enterprises. However, there are few studies on the process by which enterprises adopt green development behavior. Here, we aim to simulate the whole process by which Chinese construction enterprises adopt green development. We also consider impact of environmental regulation and industry clusters in this process. Using agent-based modeling, we construct a computational experimental simulation model for the adoption of green development behavior by construction enterprises. The model considers the organizational behavior characteristics of construction enterprises and the evolutionary characteristics of the renewable construction materials market. Our results show that in terms of renewable building materials, construction enterprises that actively adopt green development behavior are more sustainable than those that do not. Moreover, with the implementation of sustainable environmental regulations, more enterprises are passively adopting green development behaviors. However, unsustainable environmental regulations do not have a positive effect. The formation of industrial clusters is also conducive to promoting companies’ adoption of green development behaviors. Therefore, construction enterprises should take the initiative to adopt green development behavior and migrate to industrial agglomerations. This practice is not only beneficial to the sustainable operation of the enterprise and the expansion of the enterprise scale, it will also have an optimization effect on the external environment. Here, we take construction enterprises as the breakthrough point and expand research on enterprise green development. We also provide a theoretical basis and insights for enterprises with environmental responsibility to engage in green development behavior.
Development of a method for obtaining fried venison sausages with improved properties
Authors: Gorbacheva M V , Chebakova G V , Esepenok K V , Zemtsova L K , Yatsyshina A V 
Published: July 2022

Abstract
The work deals with the development research of the production process and formulation of fried sausages, which provide an increase in its nutritional value, including energy and biological, as well as expanding the range of venison products. Venison takes an insignificant share in the total volume of the Russian market. However, this type of meat raw material has its own consumer, both regionally and in terms of expanding the range of meat products produced primarily in large cities. The objects of the research were frozen venison; unsalted pork side fat; melted chicken fat; fried sausages from venison. The possibility of using milk whey in the process of formation of the stuffing system for the production of fried sausages was substantiated during the experiment. It is shown that whey addition at the stage of the minced meat seasoning process and interaction of whey proteins with meat structural elements promotes both loosening muscle fibers and activating enzymatic processes. The above provided intensification of minced meat system maturation on average of 8 hours. The analysis of the results confirmed that the use of venison and melted chicken fat in fried sausages composition contributes to increasing their nutritional value, including energetic and biological ones. The product obtained according to variant 1 was characterized by higher energetic value which amounted to 244.6 kcal (1015.3 kJ). The lowest one (239.4 kcal/995.7 kJ) was detected in variant 3 samples with 75.0% of venison and 10.0% of clarified chicken fat. The introduction of a natural additive - CO2-extract of oregano with its antioxidant properties – is an added benefit of the proposed technical solutions. This can reduce the degree of oxidation of fat and, consequently, increase the shelf life of fried sausages.
Technological measures to improve the environmental friendliness of alcohol industry enterprises
Authors: Novikova I V , Muravev A S , Agafonov G V , Korotkih E A , Malceva O Y , Zueva N V 
Published: July 2022

Abstract
The article concerns technological measures to improve the environmental friendliness of food industry enterprises: in particular, aspects of processing waste from the alcohol industry with further use in agriculture (in animal feed). It is important to use methods to optimize the feeding of farm animals, allowing one to involve feed resources that do not have a harmful effect on health and productivity, while significantly reducing the consumption of grain components. This resource is dry distillery grains, which is a waste product of distillery production. Technologies of distillery bard processing include its evaporation with further drying. The main waste at the ethanol plant is whole stillage. It is centrifuged to separate thin stillage from wet grains. Thin stillage contains 5-10% of solids. For reducing energy consumption during the concentration process, it is possible to use a direct contact evaporator (bubbling evaporator). In this article, the bubbling evaporator design was developed. To justify the size of the evaporator, the temperature difference profile along the column length was determined. It is less than 1 and remains constant, which determines the high efficiency of heat transfer. The most effective parameters of the evaporation process according to moisture removal are a gas flow rate of 1.3–1.5 m3/h, air temperature of 400±15. Work results can be used in the design of scalable systems for thin stillage processing and applicable in medium-sized ethanol plants.
Resource-saving technology for obtaining a complex of polysaccharides from ginseng root meal
Authors: Orobinskaya V N , Kazub V T , Galdin E V , Emelyanov S A , Kholodova E N , Pisarenko O N 
Published: July 2022

Abstract
The article describes the possibility of using ginseng root meal to obtain polysaccharides using resource-saving technology - electric discharge extraction, exposure to a rectangular pulse with a nanosecond front. The enterosorbent capacity of extracting ginseng from meal has been determined experimentally. The optimal technological parameters for the use of electrodes made of various types of steel have been determined. Using the method of electric discharge extraction on hepatocytes of the liver, we take into account the presence of metallic impurities and in vivo methods.
Multi-criteria optimization of food production by an example of optimization of the process of rendering poultry fat in the presence of electroactivated liquid
Authors: Bugaev Yu V , Korobova L A , Polyanskikh S V , Egorova G N 
Published: July 2022

Abstract
To date, in the production and management of the food industry, the mathematical foundations of solving problems according to one criterion (one-criterion optimization) have been well studied. However, in various areas of engineering solutions, there are multicriteria problems in which a system or process must be optimized according to several criteria simultaneously. Since individual criteria usually conflict with each other, as a rule, no set of input parameters would achieve the optimum of all criteria simultaneously. In this regard, there is uncertainty in the choice of the optimal solution and the complexity of the choice of a specific mathematical method. The authors have made a brief review of publications devoted to the application of multicriteria optimization in food production. As a result, it turned out that in most of the reviewed publications, a preliminary examination of the problem was not carried out, and the solution method was chosen according to the principle of the greatest simplicity. At the same time, it is known that there is no universal method for solving multicriteria problems and the use of each algorithm is associated with rather strict restrictions and assumptions. In this regard, the authors dedicated this work to the presentation of a typical information technology for solving a multi-criteria production problem in the food industry using standard means of computer mathematics - the MathCad system, taking into account all methodological recommendations. As an example, the problem of multicriteria optimization of the process of melting ostrich fat was considered, the conditions of which were taken from an open source. As a result, the optimal parameters of the process were found in the presence of two and three criteria of optimality. The described technology can be used as a basis for solving other multi-criteria optimization problems of food production.
Equipment for removing moisture when manipulating piece food products
Authors: Avtsinov I A , Gavrilov A N , Kudryashov V S , Sukhanova N V , Alekseev M V , Emelyanov A E 
Published: July 2022

Abstract
The work presents the scientific basis for the recognition of small specific parts and finished products on a thin gas layer. The proposed principle is based on the use of the interlayer as a carrier and recognizing the main element of the pneumatic system. The purpose of the work is to substantiate the possibility of increasing the production of high-quality piece food production through the introduction of modern automated devices. Together with the design features of the working surfaces of the devices, the creation of universal pneumatic equipment is ensured. The developed equipment is able to successfully solve the problems of moisture removal, sorting, rejection, orientation of the subject of production. The description of the recognition principle is given. The synthesis of elements of the pneumatic system of the type "pneumatic chamber-working surface of the device-thin gas layer-product" showed that they are interconnected. At the stage of synthesis of elements of the pneumatic system and their structural classification, it was possible to unite the characteristic specifics of the described pieces of food industry with the design features of the devices and the operations implemented on them. The presented device schemes have versatility, multifunctionality, ability to manipulate specific pieces, when switching from one standard size of parts to another.
Generalized quantum assisted simulator
Authors: Haug Tobias , Bharti Kishor 
Published: July 2022

Abstract
We provide a noisy intermediate-scale quantum framework for simulating the dynamics of open quantum systems, generalized time evolution, non-linear differential equations and Gibbs state preparation. Our algorithm does not require any classical–quantum feedback loop, bypass the barren plateau problem and does not necessitate any complicated measurements such as the Hadamard test. We introduce the notion of the hybrid density matrix, which allows us to disentangle the different steps of our algorithm and delegate classically demanding tasks to the quantum computer. Our algorithm proceeds in three disjoint steps. First, we select the ansatz, followed by measuring overlap matrices on a quantum computer. The final step involves classical post-processing data from the second step. Our algorithm has potential applications in solving the Navier–Stokes equation, plasma hydrodynamics, quantum Boltzmann training, quantum signal processing and linear systems. Our entire framework is compatible with current experiments and can be implemented immediately.
H∞ loop-shaping of a multi-input dc-dc converter using weight function parameter optimization
Authors: Bhimavarapu Amarendra Reddy , Thelukuntla Chandra Shekar , Thota Phanindra 
Published: July 2022

Abstract
Designing of controllers for Multi-Input DC-DC Converter (MIDDC) topology is a challenging task due to control loop interactions. Most of the closed loop controllers designed for MIDDC topologies are by considering the interactions measures of the closed loops. In this article a non-isolated MIDDC converter with a compact structure is chosen and designing of robust controller using

H

∞

Loop Shaping Design (HILSD) methodology and is interaction independent. Stabilizing controller design require the selection of the weight function parameters, if the selection of weight function parameters is not chosen properly in designing of controller it may not achieve reasonable compromise between robust performance and robust stability. So, for better the design efficacy of HILSD, a weight function optimization problem is formulated where, Frequency Integral Square Error (FISE) based performance index is used as objective function, however the performance level of the designed controller which regulates MIDDC converter system and success of loop-shaping procedure are used as constraints. Global search algorithm has been used in this work to find the global optimum weight function parameters and these are obtained in MATLAB environment. Effectiveness of MIDDC converter is verified viz. simulation in PSIM environment with HILSD controller for the regulation of load voltage as well as load division by considering a 100 W, 36 V/12 V to 24 V dc power converter.
Thirty-Day Readmission Rate Among Patients With Hypertensive Crisis: A Nationwide Analysis
Authors: Ashraf Muddasir , Zlochiver Viviana , Bolton Alexander , Allaqaband Suhail Q , Bajwa Tanvir , Jan M Fuad 
Published: July 2022

Abstract

BACKGROUND
Hypertensive crisis is a life-threatening condition, further classified as hypertensive emergency and hypertensive urgency based on the presence or absence of acute or progressive end-organ damage, respectively. Readmissions in hypertensive emergency have been studied before. We aimed to analyze 30-day readmissions using recent data and more specific ICD-10-CM coding in patients with hypertensive crisis.

METHODS
In a retrospective study using the National Readmission Database 2018, we collected data on 129,239 patients admitted with the principal diagnosis of hypertensive crisis. The primary outcome was the all-cause 30-day readmission rate. Secondary outcomes were common causes of readmission, in-hospital mortality, resource utilization, and independent predictors of readmission. We also compared outcomes between patients with hypertensive urgency and hypertensive emergency.

RESULTS
Among 128,942 patients discharged alive, 13,768 (10.68%) were readmitted within 30 days; the most common cause of readmission was hypertensive crisis (19%). In-hospital mortality for readmissions (1.5%) was higher than for index admissions (0.2%, P &lt; 0.01). Mean length of stay for readmissions was 4.5 days. The mean hospital cost associated with readmissions was $10,950, and total hospital costs were $151 million. Age &lt;65 years and female sex were independent predictors of higher readmission rates. Subgroup analysis revealed a higher readmission rate for hypertensive emergency than hypertensive urgency (11.7% vs. 10%, P &lt; 0.01).

CONCLUSIONS
All-cause 30-day readmission rates are high in patients admitted with hypertensive crisis, especially patients with hypertensive emergency. Higher in-hospital mortality and resource utilization are associated with readmission in these patients.
CBLRR: a cauchy-based bounded constraint low-rank representation method to cluster single-cell RNA-seq data
Authors: Ding Qian , Yang Wenyi , Luo Meng , Xu Chang , Xu Zhaochun , Pang Fenglan , Cai Yideng , Anashkina Anastasia A , Su Xi , Chen Na , Jiang Qinghua 
Published: July 2022

AbstractThe rapid development of single-cel+l RNA sequencing (scRNA-seq) technology provides unprecedented opportunities for exploring biological phenomena at the single-cell level. The discovery of cell types is one of the major applications for researchers to explore the heterogeneity of cells. Some computational methods have been proposed to solve the problem of scRNA-seq data clustering. However, the unavoidable technical noise and notorious dropouts also reduce the accuracy of clustering methods. Here, we propose the cauchy-based bounded constraint low-rank representation (CBLRR), which is a low-rank representation-based method by introducing cauchy loss function (CLF) and bounded nuclear norm regulation, aiming to alleviate the above issue. Specifically, as an effective loss function, the CLF is proven to enhance the robustness of the identification of cell types. Then, we adopt the bounded constraint to ensure the entry values of single-cell data within the restricted interval. Finally, the performance of CBLRR is evaluated on 15 scRNA-seq datasets, and compared with other state-of-the-art methods. The experimental results demonstrate that CBLRR performs accurately and robustly on clustering scRNA-seq data. Furthermore, CBLRR is an effective tool to cluster cells, and provides great potential for downstream analysis of single-cell data. The source code of CBLRR is available online at https://github.com/Ginnay/CBLRR.