bluuebunny/crossref_metadata_2025 huggingface dataset:
SpaceSaving
±
Authors: Zhao Fuheng , Agrawal Divyakant , Abbadi Amr El , Metwally Ahmed
Published: June 2022

In this paper, we propose the first deterministic algorithms to solve the frequency estimation and frequent item problems in the
bounded-deletion
model. We establish the space lower bound for solving the deterministic frequent items problem in the bounded-deletion model, and propose Lazy SpaceSaving
±
and SpaceSaving
±
algorithms with optimal space bound. We develop an efficient implementation of the SpaceSaving
±
algorithm that minimizes the latency of update operations using novel data structures. The experimental evaluations testify that SpaceSaving
±
has accurate frequency estimations and achieves very high recall and precision across different data distributions while using minimal space. Our experiments clearly demonstrate that, if allowed the same space, SpaceSaving± is more accurate than the state-of-the-art protocols with up to
logU
- 1/
logU
of the items deleted, where
U
is the size of the input universe. Moreover, motivated by prior work, we propose Dyadic SpaceSaving
±
, the first deterministic quantile approximation sketch in the bounded-deletion model.
ByteGNN
Authors: Zheng Chenguang , Chen Hongzhi , Cheng Yuxuan , Song Zhezheng , Wu Yifan , Li Changji , Cheng James , Yang Hao , Zhang Shuai
Published: June 2022

Graph neural networks (GNNs) have shown excellent performance in a wide range of applications such as recommendation, risk control, and drug discovery. With the increase in the volume of graph data, distributed GNN systems become essential to support efficient GNN training. However, existing distributed GNN training systems suffer from various performance issues including high network communication cost, low CPU utilization, and poor end-to-end performance. In this paper, we propose ByteGNN, which addresses the limitations in existing distributed GNN systems with three key designs: (1) an abstraction of mini-batch graph sampling to support high parallelism, (2) a two-level scheduling strategy to improve resource utilization and to reduce the end-to-end GNN training time, and (3) a graph partitioning algorithm tailored for GNN workloads. Our experiments show that ByteGNN outperforms the state-of-the-art distributed GNN systems with up to 3.5--23.8 times faster end-to-end execution, 2--6 times higher CPU utilization, and around half of the network communication cost.
Hyper-tune
Authors: Li Yang , Shen Yu , Jiang Huaijun , Zhang Wentao , Li Jixiang , Liu Ji , Zhang Ce , Cui Bin
Published: June 2022

The ever-growing demand and complexity of machine learning are putting pressure on hyper-parameter tuning systems:
while the evaluation cost of models continues to increase, the scalability of state-of-the-arts starts to become a crucial bottleneck.
In this paper, inspired by our experience when deploying hyper-parameter tuning in a real-world application in production and the limitations of existing systems, we propose Hyper-Tune, an efficient and robust distributed hyper-parameter tuning framework. Compared with existing systems, Hyper-Tune highlights multiple system optimizations, including (1) automatic resource allocation, (2) asynchronous scheduling, and (3) multi-fidelity optimizer. We conduct extensive evaluations on benchmark datasets and a large-scale real-world dataset in production. Empirically, with the aid of these optimizations, Hyper-Tune outperforms competitive hyper-parameter tuning systems on a wide range of scenarios, including XGBoost, CNN, RNN, and some architectural hyper-parameters for neural networks. Compared with the state-of-the-art BOHB and A-BOHB, Hyper-Tune achieves up to 11.2X and 5.1X speedups, respectively.
Fast algorithms for core maximization on large graphs
Authors: Sun Xin , Huang Xin , Jin Di
Published: June 2022

Core maximization, that enlarges the
k
-core as much as possible by inserting a few new edges into a graph, is particularly useful for social group engagement and network stability improvement. However, the core maximization problem has been theoretically proven to be NP-hard even APX-hard for
k
≥ 3. Existing heuristic approaches suffer from the limitation of inefficiency on large graphs. To address this limitation, in this paper, we revisit this challenging yet important problem of core maximization, that is, given a graph
G
, a number
k
, and a budget
b
, to insert
b
new edges into
G
such that the corresponding
k
-core is maximized. We propose a novel algorithm FastCM+ based on several fast search strategies. The core idea is to apply graph partition to divide (
k
- 1)-shell into different components. Then, FastCM+ considers each (
k
- 1)-shell component independently to convert different layered vertices into
k
-core, in two manners of completely and partially. Based on the complete/partial conversions, FastCM+ is generalized to further handle (
k
- λ)-shell conversions for 2 ≤λ
k
. Leveraging dynamic programming combinations of different components' potential answers, FastCM+ finds a good-quality answer for edge insertions. Experimental results on eleven datasets demonstrate that our algorithm runs much faster than state-of-the-art methods on large graphs meanwhile achieving better answers.
NLC
Authors: Pan Shuye , Wang Peng , Wang Chen , Wang Wei , Wang Jianmin
Published: June 2022

Nowadays, many applications, like Internet of Things and Industrial Internet, collect data points from sensors continuously to form long time series. Finding correlation between time series is a fundamental task for many time series mining problems. However, most existing works in this area are either limited in the type of detected relations, like only the linear correlations, or not handling the complex temporal relations, like not considering the unaligned windows or variable window lengths. In this paper, we propose an efficient approach, Non-Linear Correlation search (NLC), to search the correlated window pairs on two long time series. Firstly, we propose two strategies, window shrinking and window extending, to quickly find the high-quality candidates of correlated window pairs. Then, we refine the candidates by a nested one-dimensional search approach. We conduct a systematic empirical study to verify the efficiency and effectiveness of our approach over both synthetic and real-world datasets.
Continuous social distance monitoring in indoor space
Authors: Chan Harry Kai-Ho , Li Huan , Li Xiao , Lu Hua
Published: June 2022

The COVID-19 pandemic has caused over 6 million deaths since 2020. To contain the spread of the virus, social distancing is one of the most simple yet effective approaches. Motivated by this, in this paper we study the problem of continuous social distance monitoring (SDM) in indoor space, in which we can monitor and predict the pairwise distances between moving objects (people) in a building in real time. SDM can also serve as the fundamental service for downstream applications, e.g., a mobile alert application that prevents its users from potential close contact with others. To facilitate the monitoring process, we propose a framework that takes the current and future uncertain locations of the objects into account, and finds the object pairs that are close to each other in a near future. We develop efficient algorithms to update the result when object locations update. We carry out experiments on both real and synthetic datasets. The results verify the efficiency and effectiveness of our proposed framework and algorithms.
OnlineSTL
Authors: Mishra Abhinav , Sriharsha Ram , Zhong Sichen
Published: June 2022

Decomposing a complex time series into trend, seasonality, and remainder components is an important primitive that facilitates time series anomaly detection, change point detection, and forecasting. Although numerous batch algorithms are known for time series decomposition, none operate well in an online scalable setting where high throughput and real-time response are paramount. In this paper, we propose OnlineSTL, a novel online algorithm for time series decomposition which is highly scalable and is deployed for real-time metrics monitoring on high-resolution, high-ingest rate data. Experiments on different synthetic and real world time series datasets demonstrate that OnlineSTL achieves orders of magnitude speedups (100x) for large seasonalities while maintaining quality of decomposition.
A study of database performance sensitivity to experiment settings
Authors: Wang Yang , Yu Miao , Hui Yujie , Zhou Fang , Huang Yuyang , Zhu Rui , Ren Xueyuan , Li Tianxi , Lu Xiaoyi
Published: June 2022

To allow performance comparison across different systems, our community has developed multiple benchmarks, such as TPC-C and YCSB, which are widely used. However, despite such effort, interpreting and comparing performance numbers is still a challenging task, because one can tune benchmark parameters, system features, and hardware settings, which can lead to very different system behaviors. Such tuning creates a long-standing question of whether the conclusion of a work can hold under different settings.

This work tries to shed light on this question by reproducing 11 works evaluated under TPC-C and YCSB, measuring their performance under a wider range of settings, and investigating the reasons for the change of performance numbers. By doing so, this paper tries to motivate the discussion about whether and how we should address this problem. While this paper does not give a complete solution---this is beyond the scope of a single paper, it proposes concrete suggestions we can take to improve the state of the art.
Selective data acquisition in the wild for model charging
Authors: Chai Chengliang , Liu Jiabin , Tang Nan , Li Guoliang , Luo Yuyu
Published: June 2022

The lack of sufficient labeled data is a key bottleneck for practitioners in many real-world supervised machine learning (ML) tasks. In this paper, we study a new problem, namelyselective data acquisition in the wild for model charging: given a supervised ML task and data in the wild (e.g., enterprise data warehouses, online data repositories, data markets, and so on), the problem is to select labeled data points from the data in the wild as additional train data that can help the ML task. It consists of two steps (Fig. 1). The first step is to discover relevant datasets (e.g., tables with similar relational schema), which will result in a set of candidate datasets. Because these candidate datasets come from different sources and may follow different distributions, not all data points they contain can help. The second step is to select which data points from these candidate datasets should be used. We build an end-to-end solution. For step 1, we piggyback off-the-shelf data discovery tools. Technically, our focus is on step 2, for which we propose a solution framework calledAutoData.It first clusters all data points from candidate datasets such that each cluster contains similar data points from different sources. It then iteratively picks which cluster to use, samples data points (i.e., a mini-batch) from the picked cluster, evaluates the mini-batch, and then revises the search criteria by learning from the feedback (i.e., reward) based on the evaluation. We propose a multi-armed bandit based solution and a Deep Q Networks-based reinforcement learning solution. Experiments using both relational and image datasets show the effectiveness of our solutions.
Determination of aluminum concentrations in biological specimens: application in the clinical laboratory
Authors: San Martín Sonia Pérez , Bauçà Josep Miquel , Martinez-Morillo Eduardo
Published: June 2022

Aluminum enters the body primarily through diet or occupational exposure, and is cleared through urine. However, this trace element may accumulate and cause toxicity in subjects with renal insufficiency, and even in dialysis patients. The mechanism of aluminum toxicity is related to increased oxidative and inflammatory stress, iron and calcium dyshomeostasis, or cholinergic dysregulation, among other. A review was conducted on the specimens and analytical methods used to determine aluminum in biological specimens and dialysis water. This paper describes the most relevant aspects related to quality assurance. This is a practical guideline for the development and implementation of a reliable method for determination of aluminum in the clinical laboratory. Serum aluminum is the main biomarker of toxicity. For cases of chronic exposure, urine testing is recommended. At present, inductively coupled plasma mass spectrometry (ICP-MS) is the gold-standard determination method, since it has been proven to have the best quantification limits, selectivity and robustness. Clear recommendations are provided in relation to the specimens used for aluminum determination. Relevant pre-analytical, analytical, and post-analytical considerations are also presented.
Active legumain promotes invasion and migration of neuroblastoma by regulating epithelial-mesenchymal transition
Authors: Zhang Min , Zhu Jianhua , Wang Wei , Jiang Zhiteng
Published: June 2022

Neuroblastoma (NB) is a commonly occurring malignancy in children. Epithelial-mesenchymal transition (EMT) is an adaptive change in promoting tumor metastasis. As an important factor in regulating tumor metastasis, whether legumain could promote metastasis of NB by EMT is still unexplored. Legumain is the active form of prolegumain, abundant in tumor plasma. So in the current study, different forms of legumain were identified in NB. Second, correlation analysis of N-cadherin and active legumain was identified by western blot analysis. Third, legumain gene amplification or gene knockdown were proceeded to examine the effect of legumain on EMT by scratch and transwell assay; meanwhile, active mature legumain or its asparagine endopeptidase (AEP) inhibitor was also added in. Finally, legumain can be detected differently in NB cells. Changes in legumain could influence NB metastasis by regulating EMT markers (e.g., N-cadherin, vimentin, and slug). Besides, the effect of legumain on EMT by its AEP activity was proved by intervention experiment of AEP gene transfection and gene knockdown experiments or adding recombinant human legumain suspension or specific inhibitor of AEP in NB cells (p < 0.05). These results suggest that legumain can promote invasion and migration of NB by regulating EMT, and EMT of NB is regulated by AEP activity of legumain, which can be inhibited by a specific AEP inhibitor.
How Does Institutional Context Influence Entrepreneurship Education Outcomes? Evidence from Two African Countries
Authors: Fahinde Charles , Abodohoui Alexis , Mayuto Radjabu , Su Zhan
Published: June 2022

In this paper, we proposed an analytical framework based on the institutional theory to analyze the effect of institutional context on the impact of entrepreneurship education (EE). The influence of institutional environment was captured through three variables, namely perceived government support, perceived cultural norms, and social legitimacy of entrepreneurship. Based on a sample of 788 respondents from two African countries, our results show that beyond EE, institutional context is equally a determining factor of students’ entrepreneurial intention. Thus, a favorable institutional environment increases the students’ entrepreneurial intention. Our results also reveal that the positive effect of EE is higher when government policies are conducive to entrepreneurship development while it is lower when socio-cultural context (cultural norms, social legitimacy) is conducive to entrepreneurship. Thus, this study shows that informal institutions have a contingency effect while formal institutions play a complementary role in the impact of EE on students’ entrepreneurial intention.
Aspectual marking from a typologically uncommon origin: a quantitative account of the development ofhamē(w)in Middle Persian
Authors: Mofidi Roohollah , Petré Peter
Published: June 2022

This article follows the early grammaticalization path of a durative adverb to an aspect marker for a range of aspectual uses including durative, focalized, and habitual. In a usage-based approach, we investigate the behavior ofhamē(w)in a Middle Persian database with respect to several grammatical variables, and we check its developmental path against the model proposed for the Romance languages by Bertinetto, Ebert and de Groot, aiming to uncover the amount of similarities/differences between those Romance languages and Persian. The results show that the lexical origin of the structure investigated locates Middle Persian in stage (iii) of the model, and the development documented deviates from the rest of the model in various respects. Furthermore, the usual priority of past tense in progressive developments is not observed: the adverb is originally present-oriented, but past tense usage increases as the grammaticalization proceeds.
Circular shape MIMO antenna sensor for breast tumor detection
Authors: Gupta Ankit Kumar , Rao Praveen Kumar , Mishra Rajan
Published: June 2022

In this paper, a compact circular shape ultra-wide microstrip antenna is proposed for the detection of breast tumor. The proposed antenna is a two-port MIMO antenna of 1 × 2 elements. The dimensions of the proposed antenna are 34 mm × 18mm × 1.6 mm. It is designed over a lower-cost FR-4 epoxy substrate with a partial ground plane. The antenna is operated between the frequency range of 3.1–9.6 GHz. Isolation between the antenna element is less than −22 dB from 3.1 GHz to 7 GHz and −25 dB between 7 GHz and 10.6 GHz. The obtained ECC of the designed MIMO antenna is less than 0.01 and also DG is almost 10 dB in the entire UWB range. Further, the 3D breast phantom model is also simulated for analysis of the effect of SAR. Due to the variation in the electrical properties of cancerous cells and healthy cells it is possible to identify the cancerous tumor using SAR analysis. The obtained maximum Average SAR value without a tumor is 41.97 W/kg and with a cancerous tumor is 72 W/kg. Also, the variation in reflection coefficient helps to detect the tumor of the same composition but having different locations and having different sizes inside breast phantom. The principal component analysis is done to change the multi-variation in reflection coefficients data value to a single point value for better analysis.
Information model of low-voltage distribution IoT monitoring terminal based on IEC 61850
Authors: Huang Guozheng , Wang Jinghua , Huang Mengzhe , Wu Hongbo , Zhan Yijia , Cai Ziheng
Published: June 2022

Low-voltage distribution lines lack efficient monitoring. With the massive proliferation of distributed energy resource supply, it is necessary to establish an effective monitoring system for low-voltage distribution lines to ensure the electrical safety and continuity of power supply services. This paper proposes monitoring system for low-voltage distribution lines based on the Internet of things (IoT) technology. An IoT based monitoring system contains a large number of low-voltage monitoring terminals, different manufacturers, and different types of terminal equipment to solve the interconnection problem of information interaction. This paper first analyzes the terminal functional communication requirements based on IEC 61850 standards. Further, the information models required by the electrical volume collection and non-electric quantity collection functions are studied. The information modeling for different types of monitoring terminal equipment is presented and thus provide the configuration suggestions. The monitoring terminal based on the information model developed in this paper is applied in a university campus to realize the monitoring of low-voltage lines and distributed power supply.
Understanding salient trajectories and emerging profiles in the development of Chinese learners’ motivation: a growth mixture modeling approach
Authors: Yu Hanjing , Lowie Wander , Peng Hongying
Published: June 2022

Based on the theoretical framework of the L2 Motivational Self System (L2MSS), the present study aims to make a methodological contribution to L2 motivation research. With the application of a novel growth mixture modeling (GMM) technique, the study depicted developmental trajectories of three motivational variables (ideal L2 self, ought-to L2 self, and L2 learning experience) of 176 Chinese tertiary-level students over a period of two semesters. Results showed two to three salient classes with typical developmental patterns for the three motivational variables respectively, with which the study gained fresh insights into the developmental processes of motivation beyond the individual level. Our study further established three main multivariate profiles of motivation characterized by a distinct combination of different motivational variables. The findings extend our understanding of motivational dynamics, providing a nuanced picture of emergent motivational trajectories systemically. Additionally, GMM has shown to be an effective and applicable method for the identification of salient patterns in motivation development, which leads to practical implications.
Reduction as an improvement of a precise satellite positioning based on an ambiguity function
Authors: Cellmer Sławomir , Nowel Krzysztof , Fischer Artur
Published: June 2022

It is well-known that the solution domain has a discrete character in precise satellite positioning because of the integer nature of ambiguities. Therefore, in addition to the classic least squares estimation, the search procedure has to be employed in the computation process to obtain the so-called ‘fixed solution.’ The article’s subject is to improve the search procedure conducted in the coordinate domain. The reduction process is to transform the original math model into an equivalent one in the sense of obtaining the same solution. The reduction aims to increase the efficiency of searching for some parameters, i. e., integer ambiguities. The article presents the concept of employing the reduction procedure to the computation process of precise positioning based on the ambiguity function. The transformation matrix for the reduction is based on the well-known integer decorrelation procedure. Numerical experiment results display a positive impact of the reduction process on the search procedure efficiency. This positive impact is manifested by a dramatic decrease in the number of candidates needed to test all admissible solutions inside the search region. The percentage decrease in that magnitude is at least 50 % for all session lengths and achieves a maximum value of over 75 % for the 10-minute session. Computational time decreases by over 40 % while short sessions are processed. There is no improvement for sessions longer than 15 minutes, but, as explained in the paper, there is no need to improve that magnitude in such cases.
A spherical fuzzy AHP model for contractor assessment during project life cycle
Authors: Abdulkareem Hayder Ghazi , Erzaij Kadhim Raheim
Published: June 2022

Measurement of construction performance is essential to a clear image of the present situation. This monitoring by the management team is necessary to identify locations where performance is exceptionally excellent or poor and to identify the primary reasons so that the lessons gained may be exported to the firm and its progress strengthened. This research attempts to construct an integrated mathematical model utilizing one of the recent methodologies for dealing with the fuzzy representation of experts’ knowledge and judgment considering hesitancy called spherical fuzzy analytic hierarchy process (SFAHP) method to assess the contractor’s performance per the project performance parameters (cost, schedule, quality, leadership, and change management). At the same time, most project control systems are currently applied through software like Primavera P6 or MS Project. These look at a project’s cost and schedule status by following the earned value analysis for finding the performance. Based on decision makers’ preferences, the analytic hierarchy process (AHP) may be used to arrive at the optimum conclusion. AHP approaches are discussed, including AHP, grey-AHP, fuzzy-AHP, and SFAHP weights comparison. Calculation results showed that the spherical fuzzy approach differs significantly from the other approaches where it considers the decision maker’s hesitation when making linguistic multicriteria decisions and then, as a result, recommends applying periodically for performance measurement. This model can be viewed as a valuable way to help the decision-making stakeholders in the construction sector do the best job about critical issues at a suitable time.
Cardiac ion channels associated with unexplained stillbirth – an immunohistochemical study
Authors: Branco Susana Quesado , Batra Gauri , Petts Gemma , Hancock Ainslie , Kerby Alan , Brady Chloe Anne , Heazell Alexander E.P.
Published: June 2022

Objectives

Despite the use of post-mortem investigations, approximately 20% of stillbirths remain unexplained. Cardiac ion channelopathies have been identified as a cause of death in Sudden Infant Death Syndrome (SIDS) and could be associated with unexplained stillbirths. This study aimed to understand if the expression or localisation of cardiac ion channels associated with channelopathies were altered in cases of unexplained stillbirths.

Methods

A case control study was conducted using formalin-fixed cardiac tissue from 20 cases of unexplained stillbirth and a control group of 20 cases of stillbirths from intrapartum hypoxia. 4 µm tissue sections were stained using haematoxylin and eosin, Masson’s trichrome (MT) and Elastic van Gieson (EVG). Immunohistochemistry (IHC) was performed using antibodies against CACNA1G, KCNJ2, KCNQ1, KCNH2 and KCNE1. The cardiac conduction system in samples stained with MT and EVG could not be identified. Therefore, the levels of immunoperoxidase staining were quantified using QuPath software.

Results

The nuclear-cytoplasmic ratio of sections stained with haematoxylin and eosin was higher for the hypoxia group (hypoxia median 0.13 vs. 0.04 unexplained, p < 0.001). CACNA1G (unexplained median 0.26 vs. hypoxia 0.30, p=0.009) and KCNJ2 (unexplained median 0.35 vs. hypoxia 0.41, p=0.001) had lower staining intensity in the unexplained stillbirth group. There were no statistically significant differences in the staining intensity of KCNQ1, KCNH2 and KCNE1.

Conclusions

Two ion channels associated with channelopathies demonstrated lower levels of expression in cases of unexplained stillbirth. Further genetic studies using human tissue should be performed to understand the association between channelopathies and otherwise unexplained stillbirths.
Radiochemical separation of 26Al and 41Ca from proton-irradiated vanadium targets for cross-section determination by means of AMS
Authors: Veicht Mario , Mihalcea Ionut , Gautschi Philip , Vockenhuber Christof , Maxeiner Sascha , David Jean-Christophe , Chen Shaohuang , Schumann Dorothea
Published: June 2022

This work exhibits the very first experimentally determined cross sections for 26Al and 41Ca as proton-induced spallation products of metallic vanadium targets. Additionally, the authors describe a radiochemical separation of 26Al and 41Ca from the vanadium matrix and present the theoretically calculated cross-section values as a reference for the experimental ones.
A game of perceived risk in social commerce transactions – A suggestion for the integration of the trust (payment) feature on social commerce platform sales
Authors: PhamThi VanAnh
Published: June 2022

THE AIMS OF THE PAPER

To decrease perceived risks and opportunism in social commerce transactions, many social media sites have integrated the checkout feature to their model of social media platform sales, which allows customers to immediately check out without being navigated to other websites. However, this feature is not agreeable to many merchants due to the uncontrollable customer data and other problems. Therefore, the purpose of the paper is to discuss whether merchants should set up the checkout feature in order to increase sales and decrease perceived risks as well as opportunism in social commerce or not.

METHODOLOGY

To pursue this purpose, the article adopts Prisoner’s Dilemma in game theory to analyze the game of perceived risk that relates to making the deal between sellers and buyers in two possibilities including (1) Do not set up checkout function in social commerce, and (2) set up the checkout function in social commerce.

MOST IMPORTANT RESULTS

The results show that opportunistic behaviors and perceived risk are the obstacles that negatively affect reciprocal trust, and deter the success of social commerce transactions. Therefore, the role of trusted intermediaries in s-commerce transactions is necesarry. As a result, integrating the checkout feature in s-commerce platforms is a better way to decrease perceived risk between buyers and sellers. Furthermore, it also facilitates removing the opportunistic behavior in social commerce and positively promotes the success of transactions.

This study provides a new approach in research of trust and perceived risk in s-commerce. In particular, the paper applies game theory to address two possibilities of the role of s-commerce platforms in online transactions in order to mitigate perceived risk and opportunistic behaviors among buyers and sellers.

RECOMMENDATIONS

This study motivates online merchants will move to other services such as the checkout feature of these s-commerce platforms. It also convince other merchants to apply this feature when it is available. Further, the paper raises the attention of social network sites (SNS) providers to complete and upgate their features, which brings better user experience. More important, it promotes the development of social moral to make trust based on reciprocity become a kind of social custom.
La transición a una economía circular como una ventaja competitiva en la Pyme de la manufactura textil en Tlaxcala, México
Authors: Sarmiento Paredes Susana , Carro Suárez Jorge , Nava Doroteo
Published: June 2022

Ante la crisis ambiental, las empresas requieren modelos de producción que mitiguen el cambio climático y representen una ventaja competitiva, siendo la economía circular una alternativa. El objetivo de este estudio fue determinar si los principios de economía circular: preservar y mejorar el capital natural, optimizar el rendimiento de los recursos y promover la efectividad del sistema representan una ventaja competitiva, tomando como objeto de estudio las pequeñas y medianas empresas (Pyme) del sector textil de Tlaxcala, México. La metodología consistió en realizar un diagnóstico sobre la percepción de las variables. Posteriormente, se realizó un análisis descriptivo y de varianza (Anova), una prueba Tukey, un análisis de correlación y un análisis de regresión para determinar su significancia y relación. Los resultados revelaron que los principios de economía circular permitirán a la Pyme un desempeño superior con respecto a la competencia, haciéndola diferente y bajando sus costos. Se concluye que la economía circular sí puede impactar en el cuidado ambiental y en la competitividad.
Experimental investigation on ferrofluid properties of Cd doped Co-Zn ferrites
Authors:   ", Manimegalai R. ,   Department of Physics, K.Ramakrishnan College of Engineering Trichy-621112, Tamil Nādu, India", Sendhilnathan S. ,   Department of Physics, University College of Engineering, Pattukkottai Campus, Rajamadam– 614701.Tamilnadu, India, Chithambaram V. ,   Department of Physics, PERI Institute of Technology, Mannivakkam, Chennai – 600048
Published: June 2022

"Cadmium substituted Co-Zn ferrites 𝐶𝑜0.5𝑍𝑛0.5𝐶𝑑𝑥𝐹𝑒(2−𝑥)𝑂4 (𝑥=0.0, 0.1, 0.2, 0.4, and 0.5) were fabricated by using the Co-precipitation method. The molecular composition and prepared samples of cubic spinel structureswas characterized using X-ray diffraction peak (XRD). X-ray diffraction patterns obtained the most intensive peak at (311) crystallographic planes for x=0.5. Williamson-Hall (W-H) relation was associated with XRD data to determine the crystallite sizes range from 25.356 nm to 35.632 nm and strain value brought into being 0.0024 to 0.0021. Tetrahedral and octahedral sites of hoping length were found to diminish from 3.6707Å-3.6332Å and 2.9967Å-2.9662Å respectively due to the addition of Cd ion concentration. TEM analysis reveals the presence of spherical shape nanoparticles with agglomeration for the prepared samples. It could be referenced based on the investigation of results for molecule size by two XRD and TEM strategies which demonstrate the development of nanomaterials and doping of cobalt ferrites. TEM results are well agreed with the XRD diffraction pattern in crystallite size by using Scherrer’s formula. Fourier Transform Infrared Spectroscopy (FTIR) spectra analysis were carried out on synthesized ferrite samples and observed v1 and v2 strong absorption band in the range 400-4000 cm-1 be the possession to tetrahedral (A) and octahedral (B) sites. In FTIR, the increase of Cd2+ ion in Co-Zn ferrites leads to diminishing peak values towards lower wavenumbers. It is feasible to tune the magnetic characteristics of cobalt ferrite as a potential material for diverse technological applications by substituting Zn2+ and Cd2+ for cobalt magnetic ions."
Structural and optical study of ZnO-TiO2 nanocomposites
Authors:   Department of Physics, Sri Kailash Women's College, Thalaivasal, India, Sridevi K. P. , Prasad L. G. ,   Department of Physics, M.Kumarasamy College of Engineering, Karur, India, Sangeetha B. ,   Department of Electrical & Electronics, AVS Engineering College, Salem, Sivakumar S. ,   Department of Physics, Government Arts College (Autonomous), Salem, India
Published: June 2022

Nanocomposites of ZnO-TiO2 were synthesized by using zinc chloride, titanium tetrachloride, ethanol and benzyl alcohol and diethyl ether by using Sol-Gel technique. Crystalline nature of the prepared material was analyzed using XRD study. Band gap of the material found at 3.05eV. In the PL spectra, the peak giving emission is found at 430nm and at 615nm. To confirm the ferromagnetic ordering, the VSM study was done. Morphology study was carried out with SEM images.
Confronting E-Government Adoption in Indonesian Local Government
Authors: Martitah Martitah , Arifin Saru , Sumarto Slamet , Widiyanto Widiyanto
Published: June 2022

Indonesia passed an e-government law in 2018, ushering the country's society into the information age across a range of sectors, including social, economic, communication, transportation, literacy, and public services. This transformation has benefited enormously from the facilitation of information technology in terms of productivity, comfort, compassion, and time elapsed. Local governments in Indonesia, on the other hand, are slowing the adoption of e-government, which has progressed to the second stage of implementation, which is the introduction or integration of cross-sectoral systems. This article claims that local governments face challenges in this second stage as a result of departmental egos that make it difficult to unite around shared objectives. The whole government approach is suggested in this paper as a concrete policy strategy for eradicating sectoral egos within local government departments. It places a premium on collaboration in order to accomplish the government's vision and objectives.
Elimination of Sexual Violence in Feminist Legal Theory
Authors: Widyawati Anis , Pujiyono Pujiyono , Rochaeti Nur
Published: June 2022

The closeness of women to poverty shows that development still maintains women's subordination and places women in a marginal position. What is the analysis of the Feminist Legal Theorist (FLT) in the elimination of sexual violence? Feminist Legal Theory (FLT) as one of the streams in Philosophy of Law is one of the schools of thought that was born from the main philosophy of the paradigm of Critical Theory Feminist Legal Theory (FLT) as one of the streams in the paradigm of critical theory. It is used to analyze the complexity of the needs of victims, both women, girls, boys, and girls. The Bill on the Elimination of Sexual Violence uses the Feminist Legal Theory (FLT) as an analysis so that in every norm that is formulated this bill always considers what specific experiences of women, especially victims of sexual violence. Legal protection against the elimination of sexual violence is a form of implementation of the second principle of Pancasila, namely a just and civilized humanity.
SDHx mutations and temozolomide in malignant pheochromocytoma and paraganglioma
Authors: Perez Kimberly , Jacene Heather , Hornick Jason L , Ma Chao , Vaz Nuno , Brais Lauren K , Alexander Holly , Baddoo William , Astone Kristina , Esplin Edward D , Garcia John , Halperin Daniel M , Kulke Matthew H , Chan Jennifer A
Published: June 2022

Malignant pheochromocytomas (PHEOs)/paragangliomas (PGLs) are rare tumors for which clinical outcomes remain poorly defined and therapeutic options are limited. Approximately 27% carry pathogenic germline succinate dehydrogenase (SDHx) mutations; the presence of such mutations has been correlated with response to temozolomide (TMZ). We aimed to investigate the association between germline mutations in SDHx and response to TMZ. We retrospectively identified patients with metastatic malignant PHEO/PGLs treated with TMZ- based chemotherapy at Dana-Farber Cancer Institute between 2003 and 2020. The correlation between response by Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 and PET Response Criteria in Solid Tumors (PERCIST) and the presence of SDHx mutations in the germline and tumor was evaluated. Nineteen patients received TMZ. Seventeen underwent germline assessment: 9 (53%) carried a pathogenic SDHx germline mutation. Fifteen patients were evaluable for response by RECIST 1.1: 6 (40%) partial response, 4 (27%) stable disease, and 5 (33%) progressive disease. Overall median progression-free survival was 2.2 years. Three-year overall survival (OS) was 58%. Median PFS was 1.3 years and 5.5 years for carriers and non-carriers, respectively and OS was 1.5 years and not estimable for carriers and non-carriers, respectively. The response by PERCIST criteria in nine patients correlated with the RECIST 1.1 assessment. Our series represents one of the largest analyses of patients with malignant PHEOs/PGLs treated with TMZ who have available germline data. The incidence of pathogenic germline SDHx mutations was similar to what has been previously published, though our analysis suggests that there may be a limited association between response to TMZ and pathogenic germline SDHx mutations.
La revolución inacabada de las mujeres tunecinas diez años después de la Primavera Árabe
Authors: Garratón Mateu Carmen
Published: June 2022

Este artículo presenta un balance de la Revolución del Jazmín desde la perspectiva de los derechos de las mujeres, destacando los logros alcanzados y las expectativas aún por cumplir. La metodología aplicada se basa en la exposición retrospectiva histórica de la legislación que afecta directamente a las mujeres hasta alcanzar a la obra legislativa de los últimos diez años poniéndola en relación con el contexto socio-político y con el principio de igualdad en derechos y deberes de ambos sexos proclamado en la Constitución de 2014. Por último, destacamos las líneas rojas aún existentes en ciertas cuestiones como la igualdad hereditaria que llegó a perfilarse como una de las primeras conquistas postrevolucionarias.
Does Current Evidence Support Carotid Artery Stenting for Asymptomatic Patients?
Authors: Abbas Mustafa , Cleveland Trevor
Published: June 2022

Carotid interventions, carotid endarterectomy and carotid artery stenting (CAS) have proven to be effective treatments for the prevention of ischaemic stroke in recently symptomatic patients. Most studies were conducted before the development of strict statin guidance and the systematic use of antiplatelet drugs. The advances in medical treatments have raised questions regarding the benefit of carotid endarterectomy or CAS, especially for high-grade asymptomatic internal carotid artery stenosis. Reviewing the literature indicates that carotid artery stenosis of any degree is a relatively weak predictor of ipsilateral stroke, in the absence of recent symptoms referable to the carotid disease. This risk does not appear reduced by revascularisation by CAS if added to modern day best medical therapy. On-going trials are key to understanding if current techniques can provide an additional benefit.
A quick glance at docosahexaenoic acid fortification in formulated milk for infants, from animal models to clinical studies: a review
Authors:   Department of Child Health, Faculty of Medicine, Universitas Airlangga – Dr. Soetomo General Academic Hospital, Surabaya, Indonesia, Irwanto  , Ikhtiar Ilham ,   Department of Neurology, Faculty of Medicine, Universitas Airlangga – Dr. Soetomo General Academic Hospital, Surabaya, Indonesia
Published: June 2022

Docosahexaenoic acid is a fatty acid found naturally in plants oil, fish oil, fish meat, seafood flaxseed, algae, and egg yolk. It is one of the long-chain unsaturated fatty acids that are important for human biochemistry. As an important component of grey matter, docosahexaenoic acid is subject to intense research in the field of neurodevelopmental study. It is needed mainly in the third trimester of pregnancy for optimal foetal brain growth and mother’s docosahexaenoic acid intake is known to be important in supplying the foetal needs. However, arguments still exist on whether docosahexaenoic acid status is essential or non-essential for infants, especially in the preterm infant population. In the past, strong arguments coming from translational studies showed the benefits of supplementation of docosahexaenoic acid in developing foetuses and infants. Hence, docosahexaenoic acid supplementation has long existed as commercially available docosahexaenoic acid-fortified formula milk. However, the benefit of this supplementation remains controversial after follow-up in human-based studies and clinical trials. The discovery of the fatty acid desaturase gene and its significance in regulating human docosahexaenoic acid and polyunsaturated fatty acids levels also seemed to give new evidence basis for docosahexaenoic acid supplementation in infants. This literature review attempts to explain the current understanding of clinical benefit of docosahexaenoic acid-fortified milk for infants, starting from the translational study level to clinical trials.
Reproductive failure in an Austrian piglet-producing farm due to porcine circovirus genotype 2d
Authors: Reif Johannes , Renzhammer René , Brunthaler René , Weissenbacher-Lang Christiane , Auer Angelika , Kreutzmann Heinrich , Fux Robert , Ladinig Andrea , Unterweger Christine
Published: June 2022

Infections of pigs with porcine circovirus type 2 (PCV2) can lead to various clinical conditions including reproductive disorders (PCV2-RD). In general, a transplacental infection of fetuses leads to mummification and stillbirth. So far, PCV2-RD has mainly been described in specific-pathogen-free (SPF) herds or farms with a high proportion of gilts. From December 2018 to February 2019, a high abundance of mummified fetuses (15.5%) was observed in two farrowing groups in an Austrian piglet-producing farm. PCV2 DNA was detected using qPCR in organs of all six investigated fetuses (2.07 × 108–1.09 × 1012 PCV2) genome equivalents/g tissue and via in situ hybridisation in organs from five fetuses, while histologic lesions were not observed in a single fetal heart. All isolates were sequenced and identified as PCV2d. After the implementation of a regular vaccination of all sows against PCV2, the abundance of mummified fetuses dropped to 3.5% in May 2019. In contrast to previous reports about PCV2-RD, this farm was neither an SPF herd nor a start-up herd with a high proportion of gilts. The implementation of regular PCV2 vaccination helped to reduce the abundance of mummified fetuses substantially.
A májsebészet története a Szegedi Tudományegyetem Sebészeti Klinikáján
Authors: Petri András , Hőhn József , Géczi Tibor , Libor László , Lázár György
Published: June 2022

Bevezetés

A szerzők a Sebészeti Klinika megalakulásának 100. évfordulója alkalmából ismertetik a májsebészet történetét Szegeden.

Anyag és módszerek

A májsebészetet 1982-ben Karácsonyi Sándor professzor indította el Szegeden. A jó- és rosszindulatú gócos májbetegségben szenvedők műtétein kívül a portális hypertensio sebészi szövődményeinek ellátását is végezzük. Beteganyagunkat két periódusra bontva mutatjuk be.

Megbeszélés

1981 és 1991 között a betegek 46,5%-át malignus, 53,5%-át benignus betegség miatt operáltuk, a műtéti spektrum a kiterjesztett lobektomiáig terjedt. Minor komplikáció 14%-ban, major komplikáció 9,9%-ban fordult elő, a beteganyag mortalitása 3,23% volt. A második periódusban az operált betegek 50,5%-a malignus, 46,5%-a benignus okok miatt került műtétre. A malignus alapbetegség miatt végzett májműtétek 51%-ban colorectalis vagy egyéb metastasis, 22%-ban hepatocellularis, 16%-ban cholangiocelluláris carcinoma, 11%-ban egyéb malignus daganat miatt történtek. A benignus májbetegség miatt végzett műtétek 32%-a májcysta, 25%-a echinococcus cysta, 26%-a haemangioma, 8%-a adenoma, 7%-a FNH és 2%-a egyéb benignoma miatt történt. A beteganyag mortalitás 1,3% volt. Terápia refrakter ascites miatt 126 esetben ültettünk be peritoneo-venosus shuntöt. Eredménytelen endoscopos vérzéscsillapítás után 50 esetben végeztünk körkörös varrógéppel nyelőcső-transsectiót.

Következtetések

A Sebészeti Klinika új épületbe költözése kapcsán történt beruházások alapvetően kinyitották a májsebészet lehetőségeit, ezért az osztály jelenleg a májsebészet teljes spektrumán képes a betegek ellátására.
Minimálisan invazív adrenalectomia – 23 év alatt végzett transperitonealis és retroperitonealis adrenalectomiák operatív és perioperatív eredményei a Szegedi Tudományegyetem Sebészeti Klinikán
Authors: Ottlakán Aurél , Paszt Attila , Simonka Zsolt , Ábrahám Szabolcs , Vass Csenge , Varga Krisztina , Borda Bernadett , Vas Márton , Balogh Ádám , Lázár György
Published: June 2022

Célkitűzés

Vizsgálatunk célja a Szegedi Tudományegyetem Sebészeti Klinikán végzett retroperitonealis (RP) és transperitonealis (TP) adrenalectomiák operatív és perioperatív eredményeinek bemutatása volt.

Betegek és módszer

Retrospektív cohort vizsgálatunkban 1998–2021 között végzett 174 adrenalectomia (28 RP; 146 TP) következő paramétereit értékeltük: korábbi hasi műtétek aránya, konverziós arány, műtéti idő, intraoperatív vérvesztés, tumorméret, szövettan, kórházi tartózkodási idő, valamint korai és késői szövődmény ráta.

Eredmények

TP esetében szignifikánsan magasabb korábbi hasi műtétek (TP vs RP: 68 [46,57%] vs. 4 [14%] P = 0,0021) mellett a konverziós arányban jelentős különbség nem mutatkozott (TP vs. RP: 7 [4,79%] vs. 5 [18%], P = 0,312). TP-technikával szignifikánsan nagyobb tumorok eltávolítása történt (TP vs. RP: 58,05 mm vs. 34,8 mm, P = 0,016), az intraoperatív vérvesztésben azonban jelentős különbség nem mutatkozott (TP vs. RP: 67,85 ml vs. 50,2 ml, P = 0,157), illetve a műtéti idő alakulásában a TP-csoportban szignifikánsan jobb eredményeket találtunk (TP vs. RP: 86,3 perc vs. 134,5 perc, P = 0,024). A leggyakoribb szövettani lelet az adenoma volt (TP vs. RP: n = 95, 65,06% vs. 18 [64,3%]). A TP-csoportban 19 malignus lézió (13,01%) fordult elő, míg RP-ben malignus tumor eltávolítás nem történt. Pheochromocytoma TP-ben 11 (7,53%), míg RP-ben 5 (17,8%) esetben fordult elő. A kórházi tartózkodásban szignifikáns különbség nem mutatkozott (TP vs. RP: 5,125 nap vs. 4,61 nap, P = 0,413). Korai szövődmény TP-ben öt (lépsérülés, posztoperatív láz, súlyos intraoperatív vérzés, súlyos fokú hyperkalaemia, műtétiseb-szuppuráció), míg RP-ben két esetben (2 alkalommal súlyos intraoperatív vérzés) fordult elő. TP-csoportban egy posztoperatív haláleset történt kamrafibrilláció miatt. Késői szövődmények közül TP-ben egy alkalommal fordult elő posztoperatív hasfali sérv.

Következtetések

Mindkét módszer biztonságos és jól standardizálható. Saját vizsgálatunkban az RP-adrenalectomiák kisebb elváltozások eltávolításában, míg a TP-technika szignifikánsan rövidebb műtéti idővel nagy méretű és malignus tumorok resectiójára is alkalmasnak bizonyult.