bluuebunny/crossref_metadata_2025 huggingface dataset:
Stable functional compensation within hippocampal-subregion networks in patients with temporal glioma before and after surgery
Authors: Zhang Yuhai , Xu Honghao , Liu Yong , Yang Kun , Zou Yuanjie , Liu Hongyi
Published: September 2022

Objective

To identify whether tumor invasion of the temporal lobe induces functional compensation of the hippocampal-subregion (HIPsub) network connectivity before surgery, and to further validate the stability of this functional compensation within the HIPsub network in patients with temporal glioma tumor (TTumor) after surgical resection of the tumor.

Methods

In the first cohort, analysis of HIPsub functional connectivity (FC) was conducted to identify the functional compensation of the altered HIPsub connectivity pattern in TTumor through a pattern classification approach. Then, the second cohort investigated whether functional compensation in TTumor patients changed after surgical resection of the tumor.

Results

In the first cohort, this study identified altered HIPsub network connectivity patterns and its functional compensation regions (i.e., left parahippocampal gyrus and bilateral cerebellum anterior lobe) in TTumor patients. Second, the altered HIPsub network connectivity patterns had the power to discriminate TTumor patients from healthy controls (CN) on an individual subject basis, with an AUC of 97.0%, sensitivity of 93.5%, and specificity of 90.3%. Finally, in the second cohort, we found that functional connectivities of functional compensation regions within the HIPsub network in TTumor patients did not change between before and after surgery.

Conclusion

This study provides novel evidence regarding functional compensation within the HIPsub network in TTumor patients. It has been suggested that the fine hippocampal subregion was more sensitive, which reveals functional compensation induced by tumor invasion of the temporal lobe. Furthermore, this study verified the stability and persistence of this functional compensation in TTumor patients after surgical resection of the tumor.
An overview of agents and treatments for PDGFRA-mutated gastrointestinal stromal tumors
Authors: Sun Yingchao , Yue Lei , Xu Pengfu , Hu Weiling
Published: August 2022

Platelet-derived growth factor receptor A (PDGFRA) mutations occur in approximately 10–15% of gastrointestinal stromal tumors (GISTs). These tumors with PDGFRA mutations have a different pathogenesis, clinical characteristics, and treatment response compared to tumors with receptor tyrosine kinase protein (KIT) mutations (60–70%). Many clinical studies have investigated the use of tyrosine kinase inhibitors mainly in patients with KIT mutations; however, there is a lack of attention to the PDGFRA-mutated molecular subtype. The main effective inhibitors of PDGFRA are ripretinib, avapritinib, and crenolanib, and their mechanisms and efficacy in GIST (as confirmed in clinical trials) are described in this review. Some multi-targeted tyrosine kinase inhibitors with inhibitory effects on this molecular subtype are also introduced and summarized in this paper. This review focuses on PDGFRA-mutated GISTs, introduces their clinical characteristics, downstream molecular signaling pathways, and existing resistance mechanisms. We focus on the most recent literature that describes the development of PDGFRA inhibitors and their use in clinical trials, as well as the potential benefits from different combination therapy strategies.
DPHB, a diarylheptane from Alpinia officinarum Hance, ameliorates insulin resistance: A network pharmacology and in vitro study
Authors: Li Xiangyi , Wen Huan , Zhang Yuxin , Liu Aixia , Zhang Xuguang , Fu Minghai , Pan Yipeng , Xu Jian , Zhang Junqing
Published: September 2022

(4E)-7-(4-Hydroxy-3-methoxyphenyl)-1-phenylhept-4-en-3-one (DPHB) derived from A. officinarum Hance has been reported to exert anti-inflammatory and anti-insulin resistance (IR) effects. We explored the molecular mechanism of DPHB ameliorating IR through network pharmacological prediction and in vitro analysis. The PI3K/AKT and TNF signaling pathways are the core pathways for DPHB to exert anti-IR, and the key proteins of this pathway were confirmed by molecular docking. In the IR-3T3-L1 adipocyte model, DPHB significantly promoted glucose uptake and the glucose transporter type 4 (GLUT4) translocation. In addition, DPHB significantly improved lipid accumulation, triglyceride content, and the mRNA expression of key adipokines [such as peroxisome proliferator-activated receptors-gamma (PPARγ), CCAAT enhancer-binding protein alpha (C/EBPα), and sterol regulatory element-binding protein-1 (SREBP-1)]. DPHB inhibited the protein expression of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and phosphorylated nuclear factor-κB (NF-kB), as well as promoted the expression of phosphatidylinositol 3-kinase (PI3K), protein kinase B (AKT), phosphorylated PI3K, and phosphorylated AKT. More interestingly, validation of the PI3K inhibitor LY294002 revealed that these changes were dependent on the activation of PI3K. Our cumulative findings thereby validate the potential of DPHB to alleviate and treat IR and the related diseases by regulating the PI3K/AKT and TNF-α signaling pathways.
Factors influencing the adoption of internet banking: An integration of ISSM and UTAUT with price value and perceived risk
Authors: Almaiah Mohammed Amin , Al-Rahmi Ali Mugahed , Alturise Fahad , Alrawad Mahmaod , Alkhalaf Salem , Lutfi Abdalwali , Al-Rahmi Waleed Mugahed , Awad Ali Bani
Published: September 2022

The investigation of users' satisfactions and intentions in using the services provided by commercial banks needs to be focused on internet banking, since this is the widely used banking service. This paper analyzed the satisfactions and behavioral intentions of Malaysian customers in using Internet Banking, applying the Information System Success Model (ISSM) by the integration of adoption and application technology (UTAUT) theory. Some criteria, which were taken into consideration, are as follows: perceived Risk (PR), facilitating Conditions (FC), Price (PV), Performance expectancy (PE), Information Quality (IQ), Service Quality (SEQ), and System Quality (SQ). These aspects are important to measure customers' satisfaction and behavior toward Internet and Online Banking. A sample of 362 valid responses, consisting of Malaysian customers who used E-Banking, was used for the purpose of data collection. The relationship between customers' satisfaction and factors influencing their contentment in using Online Banking was investigated. In order to evaluate this, a model called “Structural Equation Model (SEM)” was developed and used. Findings showed that most of the Online Banking users were satisfied with the system. Hence, it proves that Online Banking System was generally accepted in the Malaysian community. However, this current research is solely focused on the Malaysian community. Therefore, it may provide the necessary grounds for the study of internet banking accreditation, some useful information for the practitioners, policy makers, and the researchers to improve the system of online banking in Malaysia only. For a future study, a more well-structured research, which can accommodate the global need, would be required.
Evaluation of farmers' participatory behavior and compensation policy for agricultural water-saving
Authors: Mirzaei Abbas , Azarm Hassan
Published: August 2022

Today, with the decreased available water resources and the intensification of the conflicts between users of water resources, the cooperation or non-cooperation of users in water protection programs, especially in the agricultural sector, is of crucial importance. Therefore, the present study is aimed to provide a framework to evaluate the participatory behavior of farmers with optimal patterns of water allocation and to estimate the necessary budget to compensate for the reduction of water consumption in agricultural areas. To achieve this aim, the integration of the economic-environmental programming model with a top-down analytical approach and the agent-based model with a bottom-up analytical approach has been applied in the present study. Thus, the irrigation network of Jiroft Plain was chosen as the study area and a sample of farmers in this irrigation network was extracted for the analysis of the agent-based model using simple random method. It was found that different forms of insistence on the individual behavior of farmers make it difficult to participate in optimal water allocation patterns with simultaneously providing economic and environmental goals. As the degree of participation with the optimal model of water allocation with equal weight to economic and environmental goals, despite the implementation of the policy of giving facilities with a very low interest rate for the installation of new irrigation technologies, is estimated about 20%. Finally, the necessary budget for compensation policy for agricultural water storage was calculated based on the proposed framework, which can be considered a useful tool for policy makers in water resources management.
Case report: Treatment of intraductal papillary mucinous neoplasms located in middle-segment pancreas with end-to-end anastomosis reconstruction after laparoscopic central pancreatectomy surgery through a pigtail-tube-stent placement of the pancreatic duct
Authors: Liu Guohua , Tan Xiaoyu , Li Jiaxing , Zhong Guohui , Zhai Jingwei , Li Mingyi
Published: September 2022

Intraductal papillary mucinous neoplasm (IPMN) of the pancreas is one type of pancreatic cystic neoplasm. IPMNs can be classified into three types: main duct-IPMN (MD-IPMN), branch duct-IPMN (BD-IPMN), and mixed type-IPMN (MT-IPMN). It is universally accepted by most surgeons that patients who suffered from MD-IPMN with a high risk of malignant transformation should undergo surgical resection. However, a consensus on the best surgical strategy for MD-IPMN located in the pancreatic neck has still eluded the surgical community worldwide. Recently, one patient suffering from this condition in our Minimally Invasive Pancreas Center underwent a successful surgical procedure. In this case report, we performed a laparoscopic central pancreatectomy for this patient. During this surgical procedure, we used a method of end-to-end anastomosis reconstruction through a pigtail-tube-stent placement of the pancreatic duct. Before the construction of the remnant pancreas, the surgical margins of the frozen section should be negative. After surgery, the outcome of this case was satisfactory. No complications such as postoperative hemorrhage, abdominal infection, pancreatitis, delayed gastric emptying, and clinically relevant postoperative pancreatic fistula occurred, which demonstrated that this surgical strategy could achieve a good clinical therapeutic effect for the pancreatic neck MD-IPMN. The result of postoperative routine pathology confirmed the diagnosis of MD-IPMN. The pathological features also showed that there was a high degree of hyperplasia in the local epithelium, which indicated the necessity of surgical treatment.
The Effect of Traction before Closed Reduction in Patients with Developmental Dysplasia of the Hip
Authors: Gangaram-Panday Sanjiv S. G. , de Vos-Jakobs Suzanne , Reijman Max
Published: August 2022

Developmental dysplasia of the hip (DDH) with a dislocated hip can be treated with traction before closed reduction (CR). Currently, there is insufficient evidence supporting the use of preoperative traction treatment for a successful CR. The objective of this study was to determine the effect of preoperative traction on the success rate of primary CR in DDH patients with dislocated hips. A retrospective pair-matched study was performed in DDH patients with dislocated hips. Patients with preoperative traction treatment prior to primary CR were matched (based on age and the severity of DDH on the radiograph) to patients without preoperative traction treatment. The primary outcome was the presence or absence of maintained reduction after three weeks. A match was found for 37 hips, which resulted in the inclusion of 74 hips. No significant difference was found in the number of successful reductions after three weeks between the traction group and the control group (31 vs. 33 hips, p = 0.496). Traction treatment did not significantly improve the short-term or mid-term outcomes for closed reduction. Based on these results, we suggest that traction treatment should not be used as standard care for dislocated hips in DDH.
Studying Asymmetric Structure in Directed Networks by Overlapping and Non-Overlapping Models
Authors: Qing Huan
Published: August 2022

We consider the problem of modeling and estimating communities in directed networks. Models to this problem in the previous literature always assume that the sending clusters and the receiving clusters have non-overlapping property or overlapping property simultaneously. However, previous models cannot model the directed network in which nodes in sending clusters have overlapping property, while nodes in receiving clusters have non-overlapping property, especially for the case when the number of sending clusters is no larger than that of the receiving clusters. This kind of directed network exists in the real world for its randomness, and by the fact that we have little prior knowledge of the community structure for some real-world directed networks. To study the asymmetric structure for such directed networks, we propose a flexible and identifiable Overlapping and Non-overlapping model (ONM). We also provide one model as an extension of ONM to model the directed network, with a variation in node degree. Two spectral clustering algorithms are designed to fit the models. We establish a theoretical guarantee on the estimation consistency for the algorithms under the proposed models. A small scale computer-generated directed networks are designed and conducted to support our theoretical results. Four real-world directed networks are used to illustrate the algorithms, and the results reveal the existence of highly mixed nodes and the asymmetric structure for these networks.
A Novel Hybrid Polygeneration System Based on Biomass, Wind and Solar Energy for Micro-Scale Isolated Communities
Authors: Figaj Rafał , Żołądek Maciej , Homa Maksymilian , Pałac Anna
Published: August 2022

The availability of freshwater and energy is a serious issue in remote and islanded areas, especially at a small scale, where there may not be the possibility to access the grid and/or water distribution systems. In this context, polygeneration systems operating on the basis of local, renewable energy sources can be an answer to the users’ demand for electricity, heating, cooling, and domestic hot water. The scope of the proposed paper was to investigate, numerically, the energy and economic feasibility of a novel hybrid polygeneration system powered by biomass, solar, and wind energy for a micro-district of households. The proposed system consists of a biomass-fueled steam cycle, wind turbine, photovoltaic field coupled with thermal and electrical energy storage, adsorption chiller, and a reverse osmosis water desalination unit. The system is also assisted by an LPG generator set running as backup. The system provides space heating and cooling, electrical energy, and fresh and domestic hot water to 10 households located on Pantelleria Island, Italy. The proposed system is modelled and simulated through TRNSYS software with realistic user demand. The energy and economic performance of the proposed system are assessed with respect to a reference system in different scenarios, taking into account islanded operation, connection to the grid, and biomass tariffs. The results show that the proposed system achieves an excellent primary energy saving performance in all the investigated scenarios, with savings of more than 94% for all the investigated scenarios. Excluding any kind of funding, in case of new investment for the system, the simple payback oscillates between 7 and 12 years, showing that the developed alternative is fairly valid with respect to traditional solutions.
Photovoltaic Array Reconfiguration under Partial Shading Conditions Based on Short-Circuit Current Estimated by Convolutional Neural Network
Authors: Nguyen-Duc Tuyen , Le-Viet Thinh , Nguyen-Dang Duong , Dao-Quang Tung , Bui-Quang Minh
Published: August 2022

Partial shading conditions (PSC) have negative effects on the operation of photovoltaic (PV) systems. In this paper, a PV array reconfiguration method is developed to minimize power losses of PV arrays under partial shading conditions. The proposed reconfiguration method is based on equalizing the reduction of the short-circuit current of the PV modules in the PV array. Eight state-of-the-art Convolutional Neural Network models are employed to estimate the effect of shading on the short-circuit current of a PV module. These models include LeNet-5, AlexNet, VGG 11, VGG 19, Inception V3, ResNet 18, ResNet 34, and ResNet 50. Among eight models, the VGG 19 achieves the best accuracy on 1842 sample images. Therefore, this model is used to estimate the ratio of the actual short-circuit current and the estimated short-circuit current in four studied shading scenarios. This ratio decides the switching rule between PV modules throughout the PV array under PSC. A 2×2 experimental PV array shows that the proposed reconfiguration method improves the output power from 5.81% to 25.19% in four shading patterns. Accordingly, the power losses are reduced from 1.32% to 13.75%. The power improvement and the reduction of power losses of the proposed dynamic PV array reconfiguration system under four case studies demonstrates its effectiveness in addressing the effects of PSC on the PV array.
Breaking the Concentration Limit in Fluorescence Fluctuation Spectroscopy with Camera-Based Detection
Authors: Huang Yu-Kai , Hedde Per Niklas
Published: August 2022

Fluorescence correlation spectroscopy (FCS) is an extremely versatile tool that has been widely used to measure chemical reaction rates, protein binding, nanoparticle-protein interactions, and biomolecular dynamics in vitro and in vivo. As an inherently micro-sized approach, FCS is compatible with high-throughput screening applications, as demanded for drug design, but typically limited to nanomolar concentrations, which restricts possible applications. Here, we show how massively parallel camera-based detection with side illumination can extend the usable concentration range of FCS more than 100-fold to measure low affinity processes. Our line illumination (LIM) approach is robust, fast (1 s acquisition times), and does not require any reference measurements to characterize the observation volume size.
Increased Secreted Frizzled-Related Protein 5 mRNA Expression in the Adipose Tissue of Women with Nonalcoholic Fatty Liver Disease Associated with Obesity
Authors: Bertran Laia , Portillo-Carrasquer Marta , Barrientos-Riosalido Andrea , Aguilar Carmen , Riesco David , Martínez Salomé , Culebradas Amada , Vives Margarita , Sabench Fàtima , Castillo Daniel Del , Richart Cristóbal , Auguet Teresa
Published: August 2022

Secreted frizzled-related protein 5 (SFRP5) is an anti-inflammatory adipocytokine secreted by adipocytes that seems to be linked with nonalcoholic fatty liver disease (NAFLD). We aimed to evaluate the role of the SFRP5-wingless-MMTV integration site family member 5a (WNT5A) pathway, closely related to adipogenesis, in subcutaneous (SAT) and visceral adipose tissues (VAT) and its relationship with obesity-related NAFLD. Our cohort was composed of 60 women with morbid obesity (MO), who underwent hypocaloric diet, subclassified according to their hepatic histopathology and 15 women with normal weight. We observed increased SFRP5 mRNA expression in VAT and lower WNT5A expression in SAT in MO compared to normal weight. We found elevated SFRP5 expression in nonalcoholic steatohepatitis (NASH) in SAT and in mild simple steatosis (SS) and NASH in VAT. We observed higher WNT5A expression in SS compared to normal liver in SAT, and a peak of WNT5A expression in mild SS. To conclude, we reported increased SFRP5 mRNA expression in SAT and VAT of NAFLD-related to obesity subjects, suggesting an implication of the SFRP5-WNT5A pathway in NAFLD pathogenesis, probably due to the adipose tissue-liver axis. Since the mechanisms by which this potential interaction takes place remain elusive, more research in this field is needed.
Four Chemotherapeutic Compounds That Limit Blood-Brain-Barrier Invasion by Toxoplasma gondii
Authors: Yan Zijing , Yuan Hao , Wang Junjie , Yang Zipeng , Zhang Pian , Mahmmod Yasser S. , Wang Xiaohu , Liu Tanghui , Song Yining , Ren Zhaowen , Zhang Xiu-Xiang , Yuan Zi-Guo
Published: August 2022

Background: Toxoplasma gondii, an intracellular protozoan parasite, exists in the host brain as cysts, which can result in Toxoplasmic Encephalitis (TE) and neurological diseases. However, few studies have been conducted on TE, particularly on how to prevent it. Previous proteomics studies have showed that the expression of C3 in rat brains was up-regulated after T. gondii infection. Methods: In this study, we used T. gondii to infect mice and bEnd 3 cells to confirm the relation between T. gondii and the expression of C3. BEnd3 cells membrane proteins which directly interacted with C3a were screened by pull down. Finally, animal behavior experiments were conducted to compare the differences in the inhibitory ability of TE by four chemotherapeutic compounds (SB290157, CVF, NSC23766, and Anxa1). Results: All chemotherapeutic compounds in this study can inhibit TE and cognitive behavior in the host. However, Anxa 1 is the most suitable material to inhibit mice TE. Conclusion: T. gondii infection promotes TE by promoting host C3 production. Anxa1 was selected as the most appropriate material to prevent TE among four chemotherapeutic compounds closely related to C3.
Copper-catalyzed S-arylation of Furanose-Fused Oxazolidine-2-thiones
Authors: Kederienė Vilija , Rousseau Jolanta , Schuler Marie , Šačkus Algirdas , Tatibouët Arnaud
Published: August 2022

The 1,3-oxazolidine-2-thiones (OZTs) are important chiral molecules, especially in asymmetric synthesis. These compounds serve as important active units in biologically active compounds. Herein, carbohydrate anchored OZTs were explored to develop a copper-catalyzed C-S bond formation with aryl iodides. Chemoselective S-arylation was observed, with copper iodide and dimethylethylenediamine (DMEDA) as the best ligand in dioxane at 60–90 °C. The corresponding chiral oxazolines were obtained in reasonable to good yields under relatively mild reaction conditions. This approach is cheap, as using one of the cheapest transition metals, a simple protocol and various functional group tolerance make it a valuable strategy for getting S-substituted furanose-fused OZT. The structures of the novel carbohydrates were confirmed by NMR spectroscopy and an HRMS analysis.
Improved Registration Algorithm Based on Double Threshold Feature Extraction and Distance Disparity Matrix
Authors: Wang Biao , Zhou Jie , Huang Yan , Wang Yonghong , Huang Bin
Published: August 2022

Entire surface point clouds in complex objects cannot be captured in a single direction by using noncontact measurement methods, such as machine vision; therefore, different direction point clouds should be obtained and registered. However, high efficiency and precision are crucial for registration methods when dealing with huge number of point clouds. To solve this problem, an improved registration algorithm based on double threshold feature extraction and distance disparity matrix (DDM) is proposed in this study. Firstly, feature points are extracted with double thresholds using normal vectors and curvature to reduce the number of points. Secondly, a fast point feature histogram is established to describe the feature points and obtain the initial corresponding point pairs. Thirdly, obviously wrong corresponding point pairs are eliminated as much as possible by analysing the Euclidean invariant features of rigid body transformation combined with the DDM algorithm. Finally, the sample consensus initial alignment and the iterative closest point algorithms are used to complete the registration. Experimental results show that the proposed algorithm can quickly process large data point clouds and achieve efficient and precise matching of target objects. It can be used to improve the efficiency and precision of registration in distributed or mobile 3D measurement systems.
Electrophysiological Features to Aid in the Construction of Predictive Models of Human–Agent Collaboration in Smart Environments
Authors: Mizrahi Dor , Zuckerman Inon , Laufer Ilan
Published: August 2022

Achieving successful human–agent collaboration in the context of smart environments requires the modeling of human behavior for predicting people’s decisions. The goal of the current study was to utilize the TBR and the Alpha band as electrophysiological features that will discriminate between different tasks, each associated with a different depth of reasoning. To that end, we monitored the modulations of the TBR and Alpha, while participants were engaged in performing two cognitive tasks: picking and coordination. In the picking condition (low depth of processing), participants were requested to freely choose a single word out of a string of four words. In the coordination condition (high depth of processing), participants were asked to try and select the same word as an unknown partner that was assigned to them. We performed two types of analyses, one that considers the time factor (i.e., observing dynamic changes across trials) and the other that does not. When the temporal factor was not considered, only Beta was sensitive to the difference between picking and coordination. However, when the temporal factor was included, a transition occurred between cognitive effort and fatigue in the middle stage of the experiment. These results highlight the importance of monitoring the electrophysiological indices, as different factors such as fatigue might affect the instantaneous relative weight of intuitive and deliberate modes of reasoning. Thus, monitoring the response of the human–agent across time in human–agent interactions might turn out to be crucial for smooth coordination in the context of human–computer interaction.
SAMGRID: Security Authorization and Monitoring Module Based on SealedGRID Platform
Authors: Suciu George , Farao Aristeidis , Bernardinetti Giorgio , Palamà Ivan , Sachian Mari-Anais , Vulpe Alexandru , Vochin Marius-Constantin , Muresan Pavel , Bampatsikos Michail , Muñoz Antonio , Xenakis Christos
Published: August 2022

IoT devices present an ever-growing domain with multiple applicability. This technology has favored and still favors many areas by creating critical infrastructures that are as profitable as possible. This paper presents a hierarchical architecture composed of different licensing entities that manage access to different resources within a network infrastructure. They are conducted on the basis of well-drawn policy rules. At the same time, the security side of these resources is also placed through a context awareness module. Together with this technology, IoT is used and Blockchain is enabled (for network consolidation, as well as the transparency with which to monitor the platform). The ultimate goal is to implement a secure and scalable security platform for the Smart Grid. The paper presents the work undertaken in the SealedGRID project and the steps taken for implementing security policies specifically tailored to the Smart Grid, based on advanced concepts such as Opinion Dynamics and Smart Grid-related Attribute-based Access Control.
Comparison of Eye and Face Features on Drowsiness Analysis
Authors: Kao I-Hsi , Chan Ching-Yao
Published: August 2022

Drowsiness is one of the leading causes of traffic accidents. For those who operate large machinery or motor vehicles, incidents due to lack of sleep can cause property damage and sometimes lead to grave consequences of injuries and fatality. This study aims to design learning models to recognize drowsiness through human facial features. In addition, this work analyzes the attentions of individual neurons in the learning model to understand how neural networks interpret drowsiness. For this analysis, gradient-weighted class activation mapping (Grad-CAM) is implemented in the neural networks to display the attention of neurons. The eye and face images are processed separately to the model for the training process. The results initially show that better results can be obtained by delivering eye images alone. The effect of Grad-CAM is also more reasonable using eye images alone. Furthermore, this work proposed a feature analysis method, K-nearest neighbors Sigma (KNN-Sigma), to estimate the homogeneous concentration and heterogeneous separation of the extracted features. In the end, we found that the fusion of face and eye signals gave the best results for recognition accuracy and KNN-sigma. The area under the curve (AUC) of using face, eye, and fusion images are 0.814, 0.897, and 0.935, respectively.
Analysis of Pre-Driver and Last-Stage Power—Ground-Induced Jitter at Different PVT Corners
Authors: Souilem Malek , Melicio Rui , Dghais Wael , Belgacem Hamdi , Rodrigues Eduardo
Published: August 2022

This paper presents the study of power/ground (P/G) supply-induced jitter (PGSIJ) on a cascaded inverter output buffer. The PGSIJ analysis covers the IO buffer transient simulation under P/G supply voltage variation at three process, voltage, and temperature (PVT) corners defined at different working temperatures and distinct P/G DC supply voltages at the pre-driver (i.e., VDD/VSS) and last stage (i.e., VDDQ/VSSQ). Firstly, the induced jitter contributions by the pre-driver, as well as the last, stage are compared and studied. Secondly, the shared and decoupled P/G supply topologies are investigated. The outcomes of these simulation analyses with respect to worst case jitter corners are determined, while highlighting the importance of modeling the pre-driver circuit behavior to include the induced jitter in the input–output buffer information specification (IBIS)-like model. Accordingly, the measured PGSIJ depends on the corners to be analyzed and, therefore, the designer needs to explore the worst-case corner for the driver’s technology node and the most supply voltage noise affecting the jitter output for signal and power integrity (SiPI) simulations. Finally, the jitter transfer function sensitivity to the amplitude and frequency/phase variations of the separate and combined impacts of the pre-driver and last stage are explored, while discussing the superposition of the power supply induced jitter (PSIJ) induced by both the driver’s IO stages under small signal and large signal supply voltage variations. The linear superposition of the separate PSIJ effects by the pre-driver and last stage depends on the amplitude of the variation of the supply voltage that can drive the transistor to their nonlinear working regions.
Research and Application of Multi-Mode Joint Monitoring System for Shaft Wall Deformation
Authors: Fang Xinqiu , Zhang Fan , Shi Zongshen , Liang Minfu , Song Yang
Published: August 2022

The mine shaft is an important channel linking the underground with the surface, undertaking important functions such as personnel and material transportation and ventilation. Thus the shaft, known as the throat of the mine, is the production hub of the whole mine. Since 1980, damage to coal mine shafts has occurred in many areas of China, which has seriously impacted the safety of mine production. Therefore, real-time monitoring of the shaft wall condition is necessary. However, the traditional monitoring method cannot achieve long-term, continuous and stable monitoring of the shaft wall due to the harsh production environment downhole. Hence, a multi-mode joint sensing system for shaft wall deformation and damage is proposed, which is mainly based on FBG sensing and supplemented by vibrating-string sensing. The principle of FBG sensing is that when the external environment such as temperature, pressure and strain changes, the characteristics of light transmission in the FBG such as wavelength, phase and amplitude will also change accordingly. Using the linear relationship between the strain and the wavelength shift of the FBG, the strain of the measured structure is obtained by calculation. Firstly, this paper introduces the basic situations of the mine and analyzes the causes shaft damage. Then the vertical and circumferential theoretical values at different shaft depths are derived in combination with the corresponding force characteristics. Moreover, a four-layer strain transfer structure model of the shaft consisting of the fiber, the protective layer, the bonding layer and the borehole wall is established, which leads to the derivation of the strain transfer relational expression for the surface-mounted FBG sensing on the shaft wall. The strain-sensing transfer law and the factors influencing the strain-sensing transfer of the surface-mounted FBG on the shaft wall are analyzed. The order of key factors influencing the strain-sensing transfer is obtained by numerical simulation: the radius of the protective layer, the length of the FBG paste, and the elastic modulus of the adhesive layer. The packaging parameters with the best strain-sensing transfer of the surface-mounted FBG on the shaft wall are determined. A total of six horizontal level monitoring stations are arranged in a coal mine auxiliary shaft. Through the comprehensive analysis of the sensing data of the two sensors, the results show that the average shaft wall strain–transfer efficiency measured by the FBG sensor reaches 94.02%. The relative average error with the theoretical derivation of shaft wall transfer efficiency (98.6%) is 4.65%, which verifies the strain transfer effect of the surface-mounted FBG applied to the shaft wall. The shaft wall’s deformation monitoring system with FBG sensing as the main and vibrating-string sensing as the supplement is important to realize the early warning of well-wall deformation and further research of the shaft wall rupture mechanism.
Teaching Essential EMG Theory to Kinesiologists and Physical Therapists Using Analogies Visual Descriptions, and Qualitative Analysis of Biophysical Concepts
Authors: Gabriel David A.
Published: August 2022

Electromyography (EMG) is a multidisciplinary field that brings together allied health (kinesiology and physical therapy) and the engineering sciences (biomedical and electrical). Since the physical sciences are used in the measurement of a biological process, the presentation of the theoretical foundations of EMG is most conveniently conducted using math and physics. However, given the multidisciplinary nature of EMG, a course will most likely include students from diverse backgrounds, with varying levels of math and physics. This is a pedagogical paper that outlines an approach for teaching foundational concepts in EMG to kinesiologists and physical therapists that uses a combination of analogies, visual descriptions, and qualitative analysis of biophysical concepts to develop an intuitive understanding for those who are new to surface EMG. The approach focuses on muscle fiber action potentials (MFAPs), motor unit action potentials (MUAPs), and compound muscle action potentials (CMAPs) because changes in these waveforms are much easier to identify and describe in comparison to the surface EMG interference pattern (IP).
A Review on Marine Economics and Management: How to Exploit the Ocean Well
Authors: Wang Shuhong , Li Weiyao , Xing Lu
Published: August 2022

With the objective of establishing methods for high-quality marine development and effective marine management, this review focuses on four dimensions of marine development: marine economy, marine resources, marine ecology, and marine accounting. The focus of marine economy research is the marine industry, with the marine circular economy being the latest research frontier. Marine resources are the foundation of the marine economy. To use different types of marine resources more efficiently, it is necessary to apply the property right system of natural resources to marine fields. The healthy development of the marine economy is guaranteed by marine ecology. How to scientifically measure marine ecological loss and evaluate the marine ecological environment carrying capacity and marine ecological security is key to the sustainable development of the marine economy. The development of the marine economy is based on successful marine accounting. The lack of marine data globally has made marine accounting controversial. The study aims to review the development history and latest research frontiers for various marine-related fields and identify existing problems in the processes of marine economic development and marine management, with a view to finding a breakthrough for transforming and upgrading marine development, improving the marine economic governance system, and strengthening the modernization of marine governance capacity, so as to better develop and utilize the oceans.
ANALISIS POSTUR KERJA UNTUK MEMPERKECIL FAKTOR KELUHAN MUSCULOSKELETAL DISSOLDER (MSDS) MENGGUNAKAN METODE RAPID UPPER LIMB ASSESSMENT (RULA) PADA PEKERJA BATIK TULIS
Authors: Syakhroni Akhmad , Wiranto Achmad Aldy , Mas’idah Eli , Sagaf Muhammad
Published: August 2022

CV. Batik Pusaka Beruang Lasem merupakan industri batik tradisional. Dalam melakukan pengerjaannya masih dilakukan secara manual dengan kondisi tersebut dapat menyebabakan keluhan saat bekerja, dengan identifiksi kusioner nordic body map. dengan jenis penelitian obvservasi analitik dengan pendekatan cross selection.. Analisis data yang dilakukan secara univariat menggunakan metode rappid upper limb assessment. Pengambilan data dilakukan oleh peneliti. Dari hasil penelitian identifikasi nordic body map sebanyak 16.7% dengan tingkat resiko sangat tinggi, 77,8% dengan tingat resiko tinggi dan 5,6% dengan tingkat resiko sedang. Dengan hasil mengunakan metode rappid upper limb body assessment menggunakan tiga postur kerja dengan 3 orang dalam satu pekerjaan membatik. postur pengambilan lilin dari ke 3 sampel mendapatkan score rula action sebesar 7 dengan kategori tinggi maka diperlukanya perbaikan metode kerja,postur peniupan dari 3 orang sampel dari pekerja pertama mendapatkan score rula action sebesar 6, pekerja kedua dan ketiga mendapatkan  score rula action  sebesar 5, denga tindakan waktu dekat. Postur pembatikan dari ke 3 sampel mendapatkan score rula action 6 dengan diperlukan tindakan dalam waktu dekat. Usulan perbaikan yang berikan dengan mengunakan metode RULA yaitu untuk bagian grub A lengan atas membentuk sudut 200-450, lengan bawah membentuk sudut lebih 900 dengan posisi tangan netral, posisi tangan tertekuk pada posisi tengah dan posisi statis dan tidak melakukan gerakan yang mengulang 4 kali  permenit. Untuk grup B untuk posisi leher membentuk sudut kurang dari 100, dengan punggung netral dan posisi seimbang. Serta pemberian alas (bantalan) pada tempat duduk agar tidak sakit pada pantat,penambahan pengambilan lilin malam agar bisa digunakan satu orang satu, agar meminimalisir sudut-sudut dalam melakukan gerakan saat pengambilan lilin,sering melakukan gerakan yang bermacam variasi agar tidak terjadi kelelahan.
Crimes against humanity in the conditions of military conflicts of the 21st Century: The practice of international courts
Authors: Myroshnychenko Nataliia , Baranenko Dmytro , Murzanovska Alina , Dilna Zoriana , Suleimanova Susanna
Published: August 2022

Despite the existence of norms of international public law regulating the conduct of war, during military conflicts, states completely ignore the established rules of war and go beyond common sense, committing crimes against humanity, organizing terrorist acts, and other illegal acts. In conditions where violations of the norms and rules of hostilities become a trend, it is important to investigate how international humanitarian law regulates armed conflicts, as well as the practice of international courts regarding the consideration of cases of crimes against humanity in the context of military conflicts of the 21st century. The purpose of the work is to study the practice of international judicial authorities in the investigation of crimes against humanity in the context of military conflicts of the 21st century. The research methodology consists of such methods as historical-legal, system analysis method, logical-semantic method, methods of documentary analysis, critical evaluation, and comparison. As a result of the conducted research, the peculiarities of consideration of cases regarding the commission of crimes against humanity in the conditions of military conflicts of the XXI century by international judicial bodies were considered. Thus, the concept of crime against humanity, and war crime were formed, signs of such crimes were identified, and proposals were formed to improve international legislation in terms of regulating international crimes and ways to increase the effectiveness of activities to prosecute those guilty of war crimes.
Legal and organizational aspects of destructive information impact counteracting: the experience of Ukraine and the European Union
Authors: Chernysh Roman , Prozorov Andrii , Tytarenko Yaroslav , Matsiuk Vitalii , Lebedev Olexander
Published: August 2022

With the functioning of the global Internet, the geopolitical struggle between the states has intensified significantly in the information sphere. Transformations of the security space in modern conditions are leading to extraordinary events in cyberspace in Europe and other countries, which are becoming more frequent and large-scale. This situation requires intensification of international cooperation in the field of information space protection.

A significant part of the risks in the information sphere arises due to the «lag» of legal regulation from scientific and technological progress. This has led to problems of protection of personal data of citizens and ensuring the sustainable operation of information and telecommunications systems of critical infrastructure. One of the main ways to overcome the «lag» is timely and proper regulation of these processes.

Effective international cooperation to protect the information space will be facilitated by: improving coordination of actions and cooperation within international organizations in order to strengthen cyber resilience; purposeful fight against cybercrime in Ukraine and the world; development of cybersecurity dialogue at the national and international levels; close public-private partnership in the institutional provision of information and cybersecurity management.
Theoretical and methodological aspects of improving the functioning of the accounting system
Authors: Nazarova Halyna , Kashchena Nataliia , Nesterenko Iryna , Kovalevska Nadiia , Kashperska Anastasiia
Published: August 2022

The objective of this article is to improve the accounting system through the development of the network accounting system vectors based on software products that determine the perspectives of the accounting service. The research used different methodological tools such as comparison, analysis, modeling and generalization. The main result is an organizational model of the transition to a network accounting system based on certain modern software products will have an impact on the development of business units and the economy as a whole. The need to further develop the accounting system has been demonstrated through the phased application of the network accounting system model using digital technologies, which contributes to a timely response to the challenges and risks of our time.
Cultural foundations of a national system of education in a COVID-19 pandemic
Authors: Varyvonchyk Anastasiіa , Voropayeva Tatiana , Kaloian Armen , Moshkina Оlexandra , Abramovych Olena
Published: August 2022

The article aims to characterize the key components of cultural constants of the upbringing system from the national perspective. The objectives are to analyze the differences between traditional and prospective elements of the national upbringing system. Using general scientific (analysis, comparison), philosophical and scientific (synergetic, dialectics) and culturological (structural and functional, axiological and semiotic) methods allow characterizing culturological foundations of the national upbringing system. Currently, there is an urgent need to develop new priorities of the national policy of upbringing of children, youth, and in some cases the older generation in the context of new challenges facing society.
Current view on the study of current problems of price setting for pipe products: forecast of trends
Authors: Korneyev Ivan
Published: August 2022

The purpose of the study is to determine the factors influencing the price of tubular products, taking into account the integration of the industry in the global supply chain.

The methodological basis of the study was the method of trend analysis in determining trends with indexes of prices of tubular goods; the method of comparative analysis to identify structural shifts in the geographical and product structure of exports and imports; the method of deduction and induction in determining the position of the pipe industry in global supply chains; method of correlation-regression analysis to identify factors significantly affecting the price of tubular goods.

The scientific novelty of the results of the study consists in singling out current problems significantly affecting the price of tubular products and constructing a correlation and regression model to identify the positive and negative correlation of factors affecting the price of tubular products. The practical value of the results of the study consists in the development of recommendations for the identification, analysis, and evaluation of price structure for tubular products. Prospects for further research will consist in the development of a set of scientific and methodological provisions on the participation of the pipe industry in global supply chains.

The results can be considered as a holistic concept to identify problems significantly affecting the formation of prices for tubular products, taking into account structural shifts in supply and demand in the global market.