bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantifying the Water Contribution of Subtropical Mode Water and Related Isopycnal/Diapycnal Water Mixing in the Western Pacific Boundary Current Area Using Radiocesium: A Significant Nutrient Contribution From Subtropical Pacific Gyre to the Marginal Region
Authors: Zhu Siteng Justin , Zhang Jing , Matsuno Takeshi , Tsutsumi Eisuke , Kambayashi Shota , Horikawa Keiji , Takayama Katsumi , Inoue Mutsuo , Nagao Seiya
Published: April 2023

Subtropical mode water (STMW) plays a pivotal role in material exchange and influences marine ecosystems in the shallow layers of the western Pacific boundary current area (WPBCA, including the Kuroshio and its adjacent marginal seas), one of the typical western boundary areas in the global ocean. However, since the Kuroshio with high velocity prevents direct intrusion of STMW into the WPBCA, the STMW could only be transported into the WPBCA from the upstream and/or source Kuroshio region. In the region, water mixing blurs the “mode” of STMW and limits its observation. In this study, we measured 137Cs in the WPBCA, and identified the distribution of STMW‐derived water (STMW*) in a certain layer (σθ ∼ 25.2–25.8 kg m−3). In this layer, two different mixing strengths were quantified during the advection of STMW* from the North Pacific to the WPBCA. Quantification based on 137Cs, rare earth elements, temperature, and salinity indicated a significant decrease in the STMW* signature (<50%) in the layer of Luzon Strait, confirming strong vertical mixing due to topographic constraint. In contrast, in the same layer of Tsushima Strait, where nutrients accounted for 15.3% of the total nutrient flux to the Sea of Japan, 57% ± 20% of the water comes from the STMW* of subtropical gyre, indicating weak mixing during the long‐path transport. Quantifying the contribution of subsurface nutrient‐rich water in the subtropical gyre to shallower layers of WPBCA, using direct measured chemical tracers, could be extended to other areas and further to couple with ecosystem models.
Transient Luminous Events and Their Relationship to Lightning Strokes Over the Tibetan Plateau and Its Comparison Regions
Authors: Xu Chen , Qie Xiushu , Sun Zhuling , Yang Jing , Zhang Hongbo , Chen Alfred Bing‐Chih
Published: April 2023

This study investigates the relationship between transient luminous events (TLEs) and lightning strokes, and the characteristics of TLE‐producing thunderstorms over the Tibetan Plateau (TP), and compares them to those over the Yangtze‐River Delta (YRD) and East China Sea (ECS) where at the same latitude during 2005–2015. The data were collected using the Imager of Sprites and Upper Atmospheric Lightning (ISUAL) and the World Wide Lightning Location Network (WWLLN) observations. Elves, sprites and halo (abbreviated as ESHs) were dominantly detected over the southeastern TP (∼88%), mostly in August and September (∼81%). Different from the southeastern TP, the detected sprites and sprite‐to‐lightning stroke ratios over the YRD were larger in spring than those in summer and autumn. Halos were frequently observed in August over all study regions. Blue jets were only detected over the YRD. The density of TLEs over the southeastern TP was three times smaller than those over the YRD and ECS, while the density of elves over the southeastern TP was slightly larger than that over the YRD. The average energy of TLE‐related lightning strokes based on WWLLN was found to be larger over the southeastern TP compared to the YRD and ECS. The ESH‐producing clouds over the southeastern TP had a larger scale with a lower lightning frequency than those over the YRD.
What We Know and Don’t Know About Climate Tipping Elements
Authors: Wang Seaver
Published: April 2023

As climate change continues, parts of the Earth system such as ice sheets, frozen soils, or the Amazon rainforest could shift—some quickly, some slowly—after crossing key thresholds or tipping points.
Feasibility of a Brief Biofeedback Protocol to Train Self-Regulation in Pediatric Patients
Authors: Alioto Anthony , David Jennie G. , Gramszlo Colette
Published: April 2023

Objective:

The extant pediatric biofeedback literature has several shortcomings, including small sample sizes, inconsistent methodology, and variable means to determine outcomes. The purpose of the current study was to build upon the existing literature and examine the feasibility of a brief, semi-structured, biofeedback intervention with a larger outpatient pediatric sample.

Methods:

Via chart review, we explored 2 years of referrals ( N = 79) to our biofeedback program. We examined feasibility in terms of recruitment, program completion, and patient/caregiver satisfaction. Secondary aims included examination of changes in physiological and self-report data.

Results:

Seventy-three percent of referrals to the biofeedback program attended a first session, with 67% of those that attended a first session completing the program. The majority of patients who completed the program ( N = 39, Mage = 13.4 years, 69% female) were referred for anxiety as their presenting problem. Both patients and parents were found to be highly satisfied with the program. By the end of treatment, almost all youth were able to demonstrate a lower respiration rate, accompanied by both improvements in heart rate variability (HRV) indices and self-reported somatic symptoms. The majority of patients, however, did not achieve the goal of a respiration rate lower than 8.0 breaths per minute.

Conclusions:

The current study demonstrated that a brief, semi-structured biofeedback protocol was feasible in terms of recruitment, retention, and satisfaction with an outpatient pediatric sample. Moreover, youth who completed the program demonstrated improvements as evidenced by physiological and self-report indices.

Implications for Impact Statement

This work holds important implications for pediatric psychology care, including that a brief psychology trainee-delivered, semi-structured biofeedback program was found to be feasible and acceptable to patients and families delivered in an outpatient setting. The program was found to be acceptable by participants with diverse diagnoses (e.g., anxiety and pain-related disorders). The current study contributes to the pediatric biofeedback literature by providing further direction around both implementation and outcome measurement in pediatric biofeedback.
Dietary cysteine drives body fat loss via FMRFamide signaling in Drosophila and mouse
Authors: Song Tingting , Qin Wusa , Lai Zeliang , Li Haoyu , Li Daihan , Wang Baojia , Deng Wuquan , Wang Tingzhang , Wang Liming , Huang Rui
Published: April 2023

Obesity imposes a global health threat and calls for safe and effective therapeutic options. Here, we found that protein-rich diet significantly reduced body fat storage in fruit flies, which was largely attributed to dietary cysteine intake. Mechanistically, dietary cysteine increased the production of a neuropeptide FMRFamide (FMRFa). Enhanced FMRFa activity simultaneously promoted energy expenditure and suppressed food intake through its cognate receptor (FMRFaR), both contributing to the fat loss effect. In the fat body, FMRFa signaling promoted lipolysis by increasing PKA and lipase activity. In sweet-sensing gustatory neurons, FMRFa signaling suppressed appetitive perception and hence food intake. We also demonstrated that dietary cysteine worked in a similar way in mice via neuropeptide FF (NPFF) signaling, a mammalian RFamide peptide. In addition, dietary cysteine or FMRFa/NPFF administration provided protective effect against metabolic stress in flies and mice without behavioral abnormalities. Therefore, our study reveals a novel target for the development of safe and effective therapies against obesity and related metabolic diseases.
Identification of a novel nonsense NOG mutation in a patient with stapes ankylosis and symphalangism spectrum disorder
Authors: Sonoyama Toru , Ishino Takashi , Ogawa Yui , Oda Takashi , Takeno Sachio
Published: April 2023

Multiple bone disorders due to mutations in the human noggin (NOG) causes a variety of phenotypes. Hearing impairment due to stapes ankylosis secondary to bony degeneration is also a feature of these syndromes. We describe the case of an individual in a Japanese family with conductive hearing loss due to stapes ankylosis and hyperopia and dactylosymphysis. We revealed a novel NOG mutation, NM_005450.6:c.222 C > A / p.Tyr74*, and confirmed genetic significance.
Potassium-rich mining waste addition can shorten the composting period by increasing the abundance of thermophilic bacteria during high-temperature periods
Authors: Huo Xiao-jun , YanZhou  , Chen Min-jie , Zhou Jian-lin , Zheng Chun-li
Published: April 2023

Conventional compost sludge has a long fermentation period and is not nutrient rich. Potassium-rich mining waste was used as an additive for aerobic composting of activated sludge to make a new sludge product. The effects of different feeding ratios of potassium-rich mining waste and activated sludge on the physicochemical properties and thermophilic bacterial community structure during aerobic composting were investigated. The results showed that potassium-rich waste minerals contribute to the increase in mineral element contents; although the addition of potassium-rich waste minerals affected the peak temperature and duration of composting, the more sufficient oxygen content promoted the growth of thermophilic bacteria and thus shortened the overall composting period. Considering the requirements of composting temperature, it is recommended that the addition of potassium-rich waste minerals is less than or equal to 20%.
A multiple regression based method for indirect compensation of hemispherical resonator gyro temperature error
Authors: Xin-san Li , Can Li , Qiang Shen , Li-xin Wang , Shuan-zhu Li
Published: April 2023

In order to improve the measuring accuracy of the Hemispherical Resonator Gyro under variable temperature, aiming at the problem of "external temperature is unavailable and internal temperature is unmeasurable," a multiple regression based method is proposed for compensating temperature error in the gyro. The relationship between the internal temperature and the resonant frequency of the gyro is analyzed theoretically. According to a constant temperature experiment, a linear relationship between them is derived based on the least square method. The analysis of a temperature-rising experiment shows that the correlation of the gyro output with the internal temperature is much higher than that with the external temperature. Therefore, taking the resonant frequency as an independent variable, a multiple regression model is established for compensating the temperature error. The compensation effect of the model is verified by temperature-rising and temperature-dropping experiments, which show that the output sequence before compensation is not stable, while it is stable after compensation. After compensation, the drift of the gyro decreases by 62.76% and 48.48%, respectively, and its measuring accuracy becomes equivalent to that at the constant temperature. The experimental results verify the feasibility and effectiveness of the model developed for indirect compensation of temperature error.
Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry
Authors: Pirone Daniele , Montella Annalaura , Sirico Daniele G. , Mugnano Martina , Villone Massimiliano M. , Bianco Vittorio , Miccio Lisa , Porcelli Anna Maria , Kurelac Ivana , Capasso Mario , Iolascon Achille , Maffettone Pier Luca , Memmolo Pasquale , Ferraro Pietro
Published: April 2023

Image-based identification of circulating tumor cells in microfluidic cytometry condition is one of the most challenging perspectives in the Liquid Biopsy scenario. Here we show a machine learning-powered tomographic phase imaging flow cytometry system capable to provide high-throughput 3D phase-contrast tomograms of each single cell. In fact, we show that discrimination of tumor cells against white blood cells is potentially achievable with the aid of artificial intelligence in a label-free flow-cyto-tomography method. We propose a hierarchical machine learning decision-maker, working on a set of features calculated from the 3D tomograms of the cells’ refractive index. We prove that 3D morphological features are adequately distinctive to identify tumor cells versus the white blood cell background in the first stage and, moreover, in recognizing the tumor type at the second decision step. Proof-of-concept experiments are shown, in which two different tumor cell lines, namely neuroblastoma cancer cells and ovarian cancer cells, are used against monocytes. The reported results allow claiming the identification of tumor cells with a success rate higher than 97% and with an accuracy over 97% in discriminating between the two cancer cell types, thus opening in a near future the route to a new Liquid Biopsy tool for detecting and classifying circulating tumor cells in blood by stain-free method.
Creation of low cost, simple, and easy-to-use training kit for the dura mater suturing in endoscopic transnasal pituitary/skull base surgery
Authors: Hattori Yujiro , Ishisaka Eitaro , Tahara Shigeyuki , Suzuki Koji , Teramoto Shinichiro , Morita Akio
Published: April 2023

Training kits for laparoscopes for deep suturing under endoscopes are commercially available; however, previously reported training kits for endoscopic transnasal transsphenoidal pituitary/skull base surgery (eTSS) were not available in the market. Moreover, the previously reported low cost, self-made kit has the drawback of being unrealistic. This study aimed to create a low cost training kit for eTSS dura mater suturing that was as close to real as possible. Most necessary items were obtained from the 100-yen store ($1 store) or from everyday supplies. As an alternative to the endoscope, a stick-type camera was used. Through the assembly of the materials, a simple and easy-to-use training kit was created, which is almost identical to the actual dural suturing situation. In eTSS, a simple and easy-to-use training kit for dural suturing was successfully created at a low cost. This kit is expected to be used for deep suture operations and the development of surgical instruments for training.
Caves as wildlife refuges in degraded landscapes in the Brazilian Amazon
Authors: de Fraga Rafael , Tavares Valéria , Simões Matheus Henrique , Prous Xavier , Girolamo-Neto Cesare , Brandi Iuri V. , Oliveira Guilherme , Trevelin Leonardo C.
Published: April 2023

Cross-habitat spillover may be the outcome of a process of habitat loss or degradation where the receiving habitat serves as a refuge for organisms. Once surface habitats are lost or degraded, animals can find underground refuge in caves. This paper is focused on testing whether taxonomic order richness inside caves is positively affected by the loss of the native vegetation cover surrounding caves; whether degradation of native vegetation cover predicts cave community composition; and whether there is a pattern of cave community clusters delimited by similarity in the effects of habitat degradation on animal communities. We gathered a comprehensive speleological dataset consisting of occurrence data of thousands of invertebrates and vertebrates sampled in 864 iron caves in the Amazon, to test the effects of both variables measured inside caves and surrounding landscapes on spatial variation in richness and composition of animal communities. We show that caves can work as refuges for the fauna in landscapes where the native vegetation cover surrounding them was degraded, which was evidenced by landcover change increasing the richness of cave communities and clustering caves by similarity in community composition. Therefore, habitat degradation on the surface should be a key variable when characterizing cave ecosystems for conservation prioritization and offset planning. Habitat degradation causing a cross-habitat spillover effect highlights the importance of maintaining the connection between caves by the surface, especially large caves. Our study can help guide industry and stakeholders working on the complex conciliation between land use and biodiversity conservation.
Non-destructive monitoring of forming quality of self-piercing riveting via a lightweight deep learning
Authors: Lin Sen , Zhao Lun , Wang Sen , Islam Md Shafiqul , Wei Wu , Huo Xiaole , Guo Zixin
Published: April 2023

Self-piercing riveting (SPR) has been widely used in automobile body jointing. However, the riveting process is prone to various forming quality failures, such as empty riveting, repeated riveting, substrate cracking, and other riveting defects. This paper combines deep learning algorithms to achieve non-contact monitoring of SPR forming quality. And a lightweight convolutional neural network with higher accuracy and less computational effort is designed. The ablation and comparative experiments results show that the lightweight convolutional neural network proposed in this paper achieves improved accuracy and reduced computational complexity. Compared with the original algorithm, the algorithm’s accuracy in this paper is increased by 4.5$$\%$$
%
, and the recall is increased by 1.4$$\%$$
%
. In addition, the amount of redundant parameters is reduced by 86.5$$\%$$
%
, and the amount of computation is reduced by 47.33$$\%$$
%
. This method can effectively overcome the limitations of low efficiency, high work intensity, and easy leakage of manual visual inspection methods and provide a more efficient solution for monitoring the quality of SPR forming quality.
Urinary miR-16-5p can be used as a potential marker of endocapillary hypercellularity in IgA nephropathy
Authors: Zhang Meng , Duan Zhi-Yu , Zhang Qiu-Yue , Xu Xie-Guan-Xuan , Zhang Yan , Wang Peng , Duan Shu-Wei , Wu Jie , Chen Xiang-Mei , Cai Guang-Yan
Published: April 2023

The most prevalent primary glomerulonephritis and leading cause of end-stage renal disease worldwide is IgA nephropathy (IgAN). More and more studies are describing urinary microRNA (miRNA) as a non-invasive marker for a variety of renal diseases. We screened candidate miRNAs based on data from three published IgAN urinary sediment miRNAs chips. In separate confirmation and validation cohorts, we included 174 IgAN patients, 100 patients with other nephropathies as disease controls (DC), and 97 normal controls (NC) for quantitative real-time PCR. A total of three candidate miRNAs, miR-16-5p, Let-7g-5p, miR-15a-5p were obtained. In both the confirmation and validation cohorts, these miRNAs levels were considerably higher in the IgAN than in NC, with miR-16-5p significantly higher than in DC. The area under the ROC curve for urinary miR-16-5p levels was 0.73. Correlation analysis suggested that miR-16-5p was positively correlated with endocapillary hypercellularity (r = 0.164 p = 0.031). When miR-16-5p was combined with eGFR, proteinuria and C4, the AUC value for predicting endocapillary hypercellularity was 0.726. By following the renal function of patients with IgAN, the levels of miR-16-5p were noticeably higher in the IgAN progressors than in the non- progressors (p = 0.036). Urinary sediment miR-16-5p can be used as noninvasive biomarkers for the assessment of endocapillary hypercellularity and diagnosis of IgA nephropathy. Furthermore, urinary miR-16-5p may be predictors of renal progression.
Neural network based integration of assays to assess pathogenic potential
Authors: Eslami Mohammed , Chen Yi-Pei , Nicholson Ainsley C. , Weston Mark , Bell Melissa , McQuiston John R. , Samuel James , van Schaik Erin J. , de Figueiredo Paul
Published: April 2023

Limited data significantly hinders our capability of biothreat assessment of novel bacterial strains. Integration of data from additional sources that can provide context about the strain can address this challenge. Datasets from different sources, however, are generated with a specific objective and which makes integration challenging. Here, we developed a deep learning-based approach called the neural network embedding model (NNEM) that integrates data from conventional assays designed to classify species with new assays that interrogate hallmarks of pathogenicity for biothreat assessment. We used a dataset of metabolic characteristics from a de-identified set of known bacterial strains that the Special Bacteriology Reference Laboratory (SBRL) of the Centers for Disease Control and Prevention (CDC) has curated for use in species identification. The NNEM transformed results from SBRL assays into vectors to supplement unrelated pathogenicity assays from de-identified microbes. The enrichment resulted in a significant improvement in accuracy of 9% for biothreat. Importantly, the dataset used in our analysis is large, but noisy. Therefore, the performance of our system is expected to improve as additional types of pathogenicity assays are developed and deployed. The proposed NNEM strategy thus provides a generalizable framework for enrichment of datasets with previously collected assays indicative of species.
Bi-objective bus scheduling optimization with passenger perception in mind
Authors: Liu Shuai , Liu Lin , Pei Dongmei , Wang Jue
Published: April 2023

With the development of big traffic data, bus schedules should be changed from the traditional "empirical" rough scheduling to "responsive" accurate scheduling to meet the travel needs of passengers. Based on passenger flow distribution, considering passengers' feelings of congestion and waiting time at the station, we establish a Dual-Cost Bus Scheduling Optimization Model (Dual-CBSOM) with the optimization objectives of minimizing bus operation and passenger travel costs. Improving the classical Genetic Algorithm (GA) by adaptively determining the crossover probability and mutation probability of the algorithm. We use an Adaptive Double Probability Genetic Algorithm (A_DPGA) to solve the Dual-CBSOM. Taking Qingdao city as an example for optimization, the constructed A_DPGA is compared with the classical GA and Adaptive Genetic Algorithm (AGA). By solving the arithmetic example, we get the optimal solution that can reduce the overall objective function value by 2.3%, improve the bus operation cost by 4.0%, and reduce the passenger travel cost by 6.3%. The conclusions show that the Dual_CBSOM built can better meet the passenger travel demand, improve passenger travel satisfaction, and reduce the passenger travel cost and waiting for cost. It is demonstrated that the A_DPGA built in this research has faster convergence and better optimization results.
Discriminatory punishment undermines the enforcement of group cooperation
Authors: Molenmaker Welmer E. , Gross Jörg , de Kwaadsteniet Erik W. , van Dijk Eric , de Dreu Carsten K. W.
Published: April 2023

Peer punishment can help groups to establish collectively beneficial public goods. However, when humans condition punishment on other factors than poor contribution, punishment can become ineffective and group cooperation deteriorates. Here we show that this happens in pluriform groups where members have different socio-demographic characteristics. In our public good provision experiment, participants were confronted with a public good from which all group members benefitted equally, and in-between rounds they could punish each other. Groups were uniform (members shared the same academic background) or pluriform (half the members shared the same academic background, and the other half shared another background). We show that punishment effectively enforced cooperation in uniform groups where punishment was conditioned on poor contribution. In pluriform groups, punishment was conditioned on poor contribution too, but also partially on others’ social-demographic characteristics—dissimilar others were punished more than similar others regardless of their contribution. As a result, punishment lost its effectiveness in deterring free-riding and maintaining public good provision. Follow-up experiments indicated that such discriminatory punishment was used to demarcate and reinforce subgroup boundaries. This work reveals that peer punishment fails to enforce cooperation in groups with a pluriform structure, which is rule rather than exception in contemporary societies.
Mechanical stimulation controls osteoclast function through the regulation of Ca2+-activated Cl− channel Anoctamin 1
Authors: Sun Weijia , Li Yuheng , Li Jianwei , Tan Yingjun , Yuan Xinxin , Meng Haoye , Ye Jianting , Zhong Guohui , Jin XiaoYan , Liu Zizhong , Du Ruikai , Xing Wenjuan , Zhao Dingsheng , Song Jinping , Li Youyou , Pan Junjie , Zhao Yunzhang , Li Qi , Wang Aiyuan , Ling Shukuan , Dai Rongji , Li Yingxian
Published: April 2023

Mechanical force loading is essential for maintaining bone homeostasis, and unloading exposure can lead to bone loss. Osteoclasts are the only bone resorbing cells and play a crucial role in bone remodeling. The molecular mechanisms underlying mechanical stimulation-induced changes in osteoclast function remain to be fully elucidated. Our previous research found Ca2+-activated Cl− channel Anoctamin 1 (Ano1) was an essential regulator for osteoclast function. Here, we report that Ano1 mediates osteoclast responses to mechanical stimulation. In vitro, osteoclast activities are obviously affected by mechanical stress, which is accompanied by the changes of Ano1 levels, intracellular Cl− concentration and Ca2+ downstream signaling. Ano1 knockout or calcium binding mutants blunts the response of osteoclast to mechanical stimulation. In vivo, Ano1 knockout in osteoclast blunts loading induced osteoclast inhibition and unloading induced bone loss and. These results demonstrate that Ano1 plays an important role in mechanical stimulation induced osteoclast activity changes.
Projected cross-shore changes in upwelling induced by offshore wind farm development along the California coast
Authors: Raghukumar Kaustubha , Nelson Timothy , Jacox Michael , Chartrand Christopher , Fiechter Jerome , Chang Grace , Cheung Lawrence , Roberts Jesse
Published: April 2023

In California offshore waters, sustained northwesterly winds have been identified as a key resource that can contribute substantially to renewable energy goals. However, the development of large-scale offshore wind farms can reduce the wind stress at the sea surface, which could affect wind-driven upwelling, nutrient delivery, and ecosystem dynamics. Here we examine changes to upwelling using atmospheric and ocean circulation numerical models together with a hypothetical upper bound buildout scenario of 877 turbines spread across three areas of interest. Wind speed changes are found to reduce upwelling on the inshore side of windfarms and increase upwelling on the offshore side. These changes, when expressed in terms of widely used metrics for upwelling volume transport and nutrient delivery, show that while the net upwelling in a wide coastal band changes relatively little, the spatial structure of upwelling within this coastal region can be shifted outside the bounds of natural variability.
Ultrasonic interfacial crosslinking of TiO2-based nanocomposite hydrogels through thiol–norbornene reactions for sonodynamic antibacterial treatment
Authors: Yang Su-Rung , Wang Reuben , Yan Chen-Jie , Lin Yi-Yun , Yeh Yu-Jia , Yeh Ying-Yu , Yeh Yi-Cheun
Published: April 2023

Ultrasound-triggered thiol-norbornene reactions are used at particle-polymer interfaces to create sonodynamically responsive hydrogels with tailored microstructures, properties, and antibacterial activities by modulating the ultrasound frequencies.
Design and synthesis of photostable triphenylamine based neutral AIE nano luminogens: specific and long-term tracking of mitochondria in cells
Authors: Devarajan Kathirvelan , Sivakalai Mayakrishnan , Basu Suparna Mercy , Biswas Chinmoy , Chauhan Meenakshi , Hasan Uzma , Panneerselvam Yuvaraj , Narayanan Uma Maheswari , Raavi Sai Santosh Kumar , Giri Jyotsnendu , Panda Tarun K.
Published: April 2023

We developed organelle-specific AIE luminogens with exceptional photophysical properties and mitochondrial targeting ability. These luminogens are ideal for diverse bioimaging applications, particularly for mitochondrial imaging.
Mechanism of NO reduction by NH3over CuMnOxcatalysts and the influence mechanism of CO
Authors: Xuan Chengbo , Han Shiwang , Wang Luyuan , Zhang Xingyu , Sun Rongfeng , Cheng Xingxing , Wang Zhiqiang , Ma Chunyuan , Zhao Tiantian , Hou Xukai
Published: April 2023

A series of CuMnOxcatalysts were prepared through the coprecipitation method to explore the effect of CO participation on the NH3-SCR reaction.
An electrochemically fabricated cobalt iron oxyhydroxide bifunctional electrode for an anion exchange membrane water electrolyzer
Authors: Hong Seokjin , Kim Hyunki , Jang Ho Won , Kim Soo Young , Ahn Sang Hyun
Published: April 2023

Here, we report the electrochemical fabrication of a bifunctional cobalt iron oxyhydroxide gas diffusion electrode for water electrolysis.
Structure and oxygen vacancy engineered CuCo-layered double oxide nanotube arrays as advanced bifunctional electrocatalysts for overall water splitting
Authors: Zeng Zifeng , Gao Zhifeng , Guo Zicheng , Xu Xiaowei , Chen Yian , Li Ying , Wu Dandan , Lin Lin , Jia Runping , Han Sheng
Published: April 2023

In recent years, as a green renewable energy production technology, electrochemical water splitting has demonstrated high development potential.
Cisplatin and zoledronic acid: two drugs combined in a Pt(ii) complex with potential antitumor activity towards bone tumors and metastases
Authors: Barbanente Alessandra , Ditaranto Nicoletta , Laghezza Antonio , Tortorella Paolo , Intini Francesco P. , Pacifico Concetta , Natile Giovanni , Margiotta Nicola
Published: April 2023

Two drugs already approved by the U.S. Food and Drug Administration and the European Medicinal Agency combined in a dinuclear Pt(ii) complex.
Speciation of Zn and Cd in sierozem soil, northwest China: bulk EXAFS and micro synchrotron X-ray fluorescence
Authors: Zhao Xiaolan , Takahashi Yoshio , Wu Wangsuo , Liu Changjie , Fan Qiaohui
Published: April 2023

Previous research studies have confirmed that Zn and Cd are the most predominant heavy metals in the Baiyin district, Gansu province, China.
A novel surface molecularly imprinted polymer electrochemical sensor based on porous magnetic TiO2 for highly sensitive and selective detection of tetracycline
Authors: Shao Yanming , Zheng Rui , Wang Peng , Li Yunhe , Zhao Zhizhen , An Jun , Hao Caifeng , Kang Mengyi
Published: April 2023

A novel surface molecularly imprinted polymer electrochemical sensor was constructed based on porous magnetic TiO2 for highly sensitive and selective detection of tetracycline.
Synergistic interface between metal Cu nanoparticles and CoO for highly efficient hydrogen production from ammonia borane
Authors: Li Hongmei , He Wenxue , Xu Liuxin , Pan Ya , Xu Ruichao , Sun Zhihu , Wei Shiqiang
Published: April 2023

TiO2-supported Cux–(CoO)1−x/TiO2catalysts exhibit high catalytic efficiency for NH3BH3hydrolysis. The Cu–CoO interface provides bifunctional synergistic sites for H2generation, with activation and adsorption of NH3BH3and H2O on the surface of Cu and CoO, respectively.
A long-term-stable continuous flow electrochemical ozone generator with high current efficiency
Authors: Wang Xi , Wu Dandan , Wu Xu
Published: April 2023

An ozone generator with long-term stable operation, high ozone output, and low production energy was investigated based on a high-performance PbO2 gas diffusion electrode.
Significantly enhanced piezocatalytic activity of BaTiO3by regulating the quenching process
Authors: Jin Cheng-Chao , Ai Jun-Di , Liu Dai-Ming , Tan Li-Ning , Cao Liang , Shen Bing-Lin , Qiu Xu-Ting , Zhang Ling-Xia
Published: April 2023

Under the synergetic effect of a low oxygen vacancy concentration and rapid cooling rate, the air-cooled BTO powder achieved a significantly enhanced piezocatalytic activity, with a large degradation rate constantkof 0.077 min−1and a H2evolution rate of 1.43 mmol h−1g−1.
Artificial intelligence-navigated development of high-performance electrochemical energy storage systems through feature engineering of multiple descriptor families of materials
Authors: Adamu Haruna , Abba Sani Isah , Anyin Paul Betiang , Sani Yusuf , Qamar Mohammad
Published: April 2023

With increased awareness of artificial intelligence-based algorithms coupled with the non-stop creation of material databases, artificial intelligence (AI) can facilitate fast development of high-performance electrochemical energy storage systems (EESSs).
A comprehensive view of the interstellar medium in a quasar host galaxy at z ≈ 6.4
Authors: Decarli Roberto , Pensabene Antonio , Diaz-Santos Tanio , Ferkinhoff Carl , Strauss Michael A. , Venemans Bram P. , Walter Fabian , Bañados Eduardo , Bertoldi Frank , Fan Xiaohui , Farina Emanuele Paolo , Riechers Dominik A. , Rix Hans-Walter , Wang Ran
Published: April 2023

Characterizing the physical conditions (density, temperature, ionization state, metallicity, etc) of the interstellar medium is critical to improving our understanding of the formation and evolution of galaxies. In this work, we present a multi-line study of the interstellar medium in the host galaxy of a quasar at z ≈ 6.4, that is, when the universe was 840 Myr old. This galaxy is one of the most active and massive objects emerging from the dark ages and therefore represents a benchmark for models of the early formation of massive galaxies. We used the Atacama Large Millimeter Array to target an ensemble of tracers of ionized, neutral, and molecular gas, namely the following fine-structure lines: [O III] 88 μm, [N II] 122 μm, [C II] 158 μm, and [C I] 370 μm – as well as the rotational transitions of CO(7–6), CO(15–14), CO(16–15), and CO(19–18); OH 163.1 μm and 163.4 μm; along with H2O 3(0,3)–2(1,2), 3(3,1)–4(0,4), 3(3,1)–3(2,2), 4(0,4)–3(1,3), and 4(3,2)–4(2,3). All the targeted fine-structure lines were detected, along with half of the targeted molecular transitions. By combining the associated line luminosities with the constraints on the dust temperature from the underlying continuum emission and predictions from photoionization models of the interstellar medium, we find that the ionized phase accounts for about one-third of the total gaseous mass budget and is responsible for half of the total [C II] emission. This phase is characterized by a high density (n ∼ 180 cm−3) that typical of HII regions. The spectral energy distribution of the photoionizing radiation is comparable to that emitted by B-type stars. Star formation also appears to be driving the excitation of the molecular medium. We find marginal evidence for outflow-related shocks in the dense molecular phase, but not in other gas phases. This study showcases the power of multi-line investigations in unveiling the properties of the star-forming medium in galaxies at cosmic dawn.
Characteristics of fatty acid composition of non-traditional feeds used in modern diets of young mink and its effect on the growth of young
Authors: Balakirev Nikolai , Shumilina Natalia , Larina Elena , Orlova Elena , Gubina Evgenia
Published: April 2023

From 2010 to 2015, a short-haired mink from Denmark and Poland was imported to the Savvatievo Animal Farm, which is large in size compared to the domestic one. To preserve and further increase the size of the mink, in addition to breeding work, the feeding standards were revised. Since 2010, new non-traditional feeds have been introduced into the diet of animals, the nutritional value of which is not known yet, the caloric content in 2015-2017 was increased to 165-170 kcal and by 2018-2021 it was brought to 180 kcal per 100 g of feed, while at the same time gradually reducing the amount of protein: in 2015-2017 to 7.5 g and in 2018-2021 to 6.5-7.0 g per 100 kcal of feed for young animals during the growth period (July-October). Feed with a high fat content is introduced. In this regard, it was decided to conduct a detailed analysis of some non-traditional feeds by fatty acid composition and determine the effect of the introduction of these feeds on the growth of young animals.
Spatio - temporal analysis of the lakes of the Kamyshlovsky Log of the Omsk region and their impact on the soil cover
Authors: Nevenchannaya Natalia , Shayakhmetov Marat , Bashkatova Lidiya
Published: April 2023

The article presents data on changes in the state of the lakes of the Kamyshlovsky Log of the Omsk region based on spatio-temporal data of satellite images and analysis of the chemical composition of water. It is shown that the sodium sulfate type of water in the lakes of the region is formed in the foci of continental salinization – in the Kamyshlovsky Log. It is shown that the decisive role in the formation of lakes is played by their feeding with groundwater enriched with sodium chlorides. The data of the spatial-temporal analysis of the lakes of the Kamyshlovsky Log indicate the course of the process of salinization in the period from 2016 to 2020. Chlorides are of decisive importance in terms of chemical composition in lakes, the type of salinity in all lakes is sulfate-chloride. The exception is Kamyshnoye Lake – according to 2016 data, the type of salinity in the lake is sulphate, which by 2018-2020 was replaced by sulphate-chloride. The soil cover is mainly represented by soils of the saline range, mainly salt marshes, near Lake Piketnoe – solonets, near Kamyshlov – lugovo-chernozem saline saline soil. The type of salinization in the presented soils is sulphate.
Pathomorphological analysis of tumors in cats in the city of Bishkek
Authors: Ishenbayeva Svetlana , Irgashev Almazbek , Nurgaziev Rysbek , Omoeva Tazagul , Zholoybekov Azamat
Published: April 2023

For the first time this particular article presents the results of a statistical study concerning the type of the spread of oncological diseases in cats in the city of Bishkek and the analysis of this processes. Therefore, the anamnesis, macroscopic data, and the state of regional lymph nodes were studied as well. The purpose of this work is to analyze the spread of oncological diseases, to identify the most common tumors depending on gender, breed, age and localization of the cats’ tumor in Bishkek. 48 cats of different breeds and age groups with spontaneous neoplasms became the material for this study. According to the results of this research, the most common oncological pathologies were identified as follows: breast tumors – 41.6%, skin and skin derivatives tumors – 41.6%. Neoplasms were identified from various tissues, of which epithelial tissue tumors prevailed (56%). Ulceration of tumors and metastases were common. In general, mongrel cats (81.5%) have an increased risk of neoplasia compared to purebred cats (18.2%). The results of the study were compared with the data of other scientists and similarities in the distribution of tumors are noted.
Harmonious management for sustainable development
Authors: Martishin Evgeny , Gladkaya Svetlana , Kolomeitsev Andrey , Solokhin Nikolay
Published: April 2023

The article shows that the concepts of harmonious and evolutionary management have significant heuristic potential in the development of institutional engineering, design and management of complex self-organizing systems, as well as contribute to sustainable economic development. The purpose of the article is to identify the mechanisms of conservatism and liberalism synthesis through the tools of harmonious and evolutionary management for productive sustainable economic development. Methodology: An interdisciplinary and systemic methodology is used, the logical and semiotic nature of economic genes and the genotype of the economic system determining characteristics, its orientation and content of the stability of its development are revealed. Results and novelty: basic genotypic concepts and their frames are identified, which determine the motives of economic growth and strategic directed development, mechanisms for implementing the synthesis of economic conservatism and liberalism, the principles of superposition, complementarity, interaction of individual and collective, parts and the whole, management of the economic genotype of the system with its structure − genotypic concepts forming the processes of harmonization, and its sustainable development.
Decision-making based on the model of functioning of socio-ecological-economic system
Authors: Zhukov Roman , Kozlova Nadezhda , Plinskaya Maria , Myasnikova Elena , Melay Elena
Published: April 2023

The development of regional socio-economic and ecological systems requires informed decisions. In this, decision-making authorities can be helped by models of such systems, which include three interrelated subsystems: social, environmental and economic, which may include subsystems of a lower level. The object of the study is hierarchical socio-ecological-economic systems (SEES) with homogeneous performance characteristics at all levels of management. The subject of the study is the characteristics of the processes of influence of factors on the results of the functioning of a hierarchical SEES in order to develop control actions that provide a given level of target indicators. The purpose of the study is to model the functioning of socio-ecological and economic systems based on a multi-level optimization approach under conditions of uncertainty, with the help of which it is possible to find changes in factors that allow improving the goal indicators of the SEES functioning. Based on the constructed models of the state and functioning of complex systems for the regions of the Central Federal District and the Tula Region using statistical data for 2007-2020, a multilevel optimization approach to the management of socio-economic systems was applied, proposals aimed at ensuring the sustainable development of the Tula region in the ecological subsystem were substantiated.
Assessing the possibility of creating “smart cities” in Khabarovsk Territory and its economic consequences
Authors: Dendiberya Maksim , Tishutina Olga , Barchukov Alexei , Leontiev Rudolf , Fedchenko Irina
Published: April 2023

Current article deals with the problem of territorial development in terms of innovative approaches associated with the integration of the “smart city|” project management systems. The analysis of the basic approaches to the formation of the “smart city” definition has been conducted; the basic tasks assigned to this system from the point of view of the applied process of administration of the basic social and economic processes proceeding in the system of municipal formation have been estimated. The analysis of the main problems of the “smart city” project implementation, typical for any territorial unit regardless of the impact of internal and external environment factors of the innovative project realization has been carried out. The possibility of implementing the “Smart City Khabarovsk” project in terms of the innovative project’s “risk map” was assessed. The analysis of the results of the project for the economy of the municipality, based on the potential specifics of the “smart city” system, its impact on the organization of economic relations, the impact on financial transactions in the Khabarovsk Territory and the city of Khabarovsk, and on the socio-economic activity of the population of the region.
ESG rating: global experience and development in Belarus
Authors: Ekaterina Gruznevich , Kristina Krayenkova
Published: April 2023

World trends in the use of the ESG rating are of particular relevance in the period of globalization, crises and cataclysms. They are gaining their popularity among companies, as they are an element of self-audit of organizations, they allow improving the image, gaining access to stock exchanges, attracting investors, and conquering new markets. In the Republic of Belarus, rating activity is in its infancy, which necessitates fundamental and applied research in this area. Within the framework of this article, the need to develop a methodology for assigning an ESG rating and creating a state rating provider in Belarus is substantiated. The scientific novelty of the work lies in the development of the author’s methodology for assigning an ESG rating to industrial organizations in Belarus based on a multi-category assessment of the relevance of indicators for selected blocks that correspond to ESG principles, which allows for a comprehensive assessment of organizations with ESG practice along the chain “Goals-Actions-Results”. Based on the results of the study, conclusions were drawn about the feasibility of using the ESG rating by various stakeholders to implement the concept of sustainable development in the country.
Human capital: valuation and management
Authors: Chernov Vladimir
Published: April 2023

The article considers approaches to the assessment of human capital taking into account the concept of value-oriented corporate management, which has become the methodological basis of the study. The tools of synthetic and analytical accounting in accordance with RAS and the tax legislation of the Russian Federation were used to disclose the content and comprehension of the studied financial notions. The methods of relative values of economic analysis, quantitative methods of evaluation, cost-based (property), revenue and market (comparative) approaches are used in relation to determining the value of human capital. A more specific definition of the human capital utilization coefficient and quantitative estimates of individual human capital, goodwill of human capital are proposed. A universal methodology has been developed for assessing human capital in proportion to the business qualities and labor contribution of employees to the capitalization of the enterprise and the increase in its value. The proposed methodology integrates revenue, cost-based (property) and market approaches. The quantitative relationship between the goodwill of individual human capital and the goodwill of the entire enterprise is revealed. For practitioners in the field of business valuation, researchers in the development of value-oriented corporate management, teachers and students of economics in the study of financial methods of corporate valuation.
Creative views on solving the problems of social policy in Russia and Belarus in rural areas
Authors: Zakharova Svetlana , Ziankova Larysa , Yashin Sergey , Porodina Svetlana , Lapshina Ekaterina , Tumanov Sergey
Published: April 2023

The article raises the issues of the ultimate effectiveness of regulatory measures of a social nature carried out by the state in rural areas of Russia and Belarus. For this purpose, the results of individual government directives are compared with the dynamics of demographic indicators, employment, real incomes, housing provision in rural areas, the structure of household expenditures. The problem areas of social policy in rural areas of Russia and Belarus are considered. As creative views on the solution of social problems in rural areas, options for the introduction and development of innovative agro-industrial ecosystems, which are defined by the authors as a set of economic, social, energy, information, marketing, financial and other entrepreneurial business structures that cover all the problem areas of development, are proposed.