bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Unique Perspective on Lead Compounds for Dementia with the Lewy
Body
Authors: Subramani Menaka , Sivaperuman Amuthalakshmi , Natarajan Ramalakshmi , Dhinakaran Keerthana 
Published: July 2023

Abstract:
Dementia with Lewy Bodies is a neurodegenerative disorder characterised by abnormal α-
Synuclein aggregate accumulation in Lewy Bodies and Lewy Neurites and the most common form of
dementia after Alzheimer’s disease. The presynaptic protein alpha-synuclein (α-Syn) regulates synaptic
vesicle trafficking and the subsequent release of neurotransmitters in the brain. These aggregates
go through a number of crucial stages, such as aggregation, oligomerization, and fibrillation.
Treatment of this disorder is generally symptomatic. This necessitates the development of cuttingedge
therapeutic approaches that can either stop or change the course of the diseases. Many studies
have shown that α-synuclein is a significant therapeutic target and that inhibiting α-synuclein aggregation,
oligomerization, and fibrillation is an important disease-modifying strategy. Since α-syn is a
defining feature of Parkinson’s disease, the current review provides an overview of plant phytochemicals
and synthetic heterocyclic compounds that target α-syn in Parkinson's disease in order to develop
new drugs for Dementia with Lewy Bodies.
Comparison of Antibiotic-Resistant Pattern of Extended Spectrum Beta-Lactamase and Carbapenem-Resistant Escherichia Coli Isolates from Clinical and Non-Clinical Sources
Authors: Joseph Itoro Sunday , Okolo Ijeoma Onyinye , Udenweze Evangeline Chinyere , Nwankwo Chinenye Emelda , Peter Ikemesit Udeme , Ogbonna Ifeoma Precious , Iroha Ifeanyichukwu Romanus 
Published: July 2023

The increasing rate of antibiotic resistance among E. coli especially those mediated by extended spectrum beta-lactamases and carbapenem-resistant (CR) presents a major threat to public health and healthcare delivery globally. The aim of this research was to compare the antibiotic resistant pattern of extended spectrum beta-lactamase and carbapenem-resistant Escherichia coli isolates from clinical and non-clinical sources. A total of two hundred and fifteen (215) clinical and non-clinical samples were collected for the study. The collected samples were analysis using Standard Microbiological protocol for isolation and identification. Phenotypic detection of ESBL Production and carbapenem resistant was performed using Double Disk Synergy Test (DDST) and Modified Hodge Test (MHT) respectively. Antibiogram studies of ESBL producing and Carbapenem-resistant E. coli was determined using the Kirby–Bauer disk diffusion method. The result of isolation and characterization revealed higher occurrence rate of clinical isolates of E. coli 66.1 % over non-clinical sample 54.0%. Phenotypic ESBL screening of isolated E. coli revealed overall detection rate of 35(30.4 %) and 13(13.0 %) in clinical and non-clinical source respectively while overall detection rate of carbapenem resistant ESBL producers accounted 9.6 % and 8.0 % in clinical and non-clinical isolates respectively. The isolates exhibited high percentage of resistance to nitrofurantion 100 %, cefepime 100 % colistin 66.7 %, amikacin 50.0 % and also exhibit MDR with MARI value of ≥ 0.5. Comparison of antibiotic resistant pattern of carbapenem-resistant extended spectrum beta-lactamase producing E. coli isolates from clinical and non-clinical sources showed no statistical significant difference P-value < 0.05 but were 100 % susceptible to ciprofloxacin and gentamicin. The pattern of similar MDR portrayed by clinical and non-clinical isolate should not be overlooked due to its hyper-motility and virulence domination leading to possible AMR transfer to other bacterial organisms and also, appropriate measures such as pretreatment of animal excrement before being used as fertilizers and the quality of irrigation water, hospital effluent discharge need to be taken into consideration to prevent the spread of resistant determinant.
Keywords: Escherichia coli, Extended Spectrum Beta-Lactamase, Carbapenem-Resistant, clinical, non-clinical
Wpływ zmienności światowych cen cukru na sytuację ekonomiczno-finansową sektora cukrowniczego
Authors: Sznajder Piotr 
Published: July 2023

W historii gospodarczej świata cukier jest uznawany za jeden z pierwszych produktów globalnych, a sytuacja podażowo-popytowa na światowym rynku miała duży wpływ na rozwój rynków lokalnych. Polski sektor cukrowniczy od wielu lat pozostaje pod wpływem rynku światowego. Reforma systemu regulacji rynku cukru w UE spowodowała, że rynek unijny i krajowy w coraz większym stopniu są uzależnione od sytuacji na rynku światowym. Potencjał produkcyjny krajowego przemysłu cukrowniczego jest większy od zapotrzebowania na rynku wewnętrznym i nadwyżki podaży są kierowane na eksport. Równocześnie system regulacji rynku powoduje, że 200 tys. t cukru musi być importowane, aby pokryć różnicę między zapotrzebowaniem i kwotą produkcyjną. Polski przemysł cukrowniczy importuje coraz większe ilości trzcinowego cukru surowego do rafinacji, która umożliwia lepsze wykorzystanie czynników produkcji. Ceny rynku światowego wyraźnie wpływały na ceny zbytu w kraju i wyniki finansowe sektora.
Research on key technologies for connected vehicle autonomous driving based on 5G big data
Authors: Zhou Jiyan , Liu Jinfeng 
Published: July 2023

Abstract
In recent years, with the improvement of computers, automation, and communication technologies, autonomous driving has developed rapidly and has become a research hotspot in transportation. In order to optimize the existing autonomous driving scheme, this paper investigates the key technologies in 5G-based Telematics autonomous driving, mainly including the millimeter wave communication method and automatic obstacle avoidance strategy design, and tests and analyzes them through simulation experiments. In the simulation experiment, the synchronization rate of rear vehicle 1 of lane X
1 is 97.56%, that of rear vehicle X
2 is 98.43%, and that of rear vehicle X
3 is 97.82%, with an average synchronization rate of 97.94%. The synchronization rates of rear vehicle Y
1, Y
2 and Y
3 of lane 2 are 98.27%, 97.84%, and 96.89%, respectively, with an average synchronization rate of 97.67%. For the local observation latency in Telematics, the 5G Big Data-based scheme reduces 10.22% on average compared to the F-DDQL scheme and 9.76% on average compared to the IF-DDQL scheme. Regarding system latency, the 5G Big Data-based scheme reduces 8.67% and 9.21% on average compared to the other two schemes, respectively. The 5G Big Data-based Telematics autopilot can significantly improve the synchronization rate of vehicles and effectively reduce network latency. The research on the key technologies of 5G big data-based connected vehicle autonomous driving in this paper can overcome the shortcomings of traditional autonomous driving technology with unstable networking and help reduce the reliance on high-precision sensors, thus further improving autonomous driving performance.
Study on the design of old residential district landscape space renewal based on Cite Space from the perspective of big data
Authors: Zhang Xiaoxia 
Published: July 2023

Abstract
With the gradual improvement of people’s living standards, the requirements for a living environment are getting higher and higher. A good landscape space can facilitate people’s life, promote people’s interaction, provide places for leisure and entertainment, etc. Therefore, it is important to study the landscape space of residential communities. In this paper, we use Cite space software to analyze the research on landscape space literature in recent years, use keyword search to analyze people’s preference and demand for landscape space in the community, and use the data mining technology of plain Bayesian model to analyze the existing facilities and functions of the old residential community, to explore people’s preference, demand for landscape space, people’s activities in landscape space and The design strategies for the renewal of landscape spaces in old neighborhoods are proposed. For different types of landscape spaces, walking activity is one of the main activities, and environmental facilities are the main influencing factor to determine the type of activity. The highest proportion of sitting facilities is 24.6%, showing that people need them first to stay in the space. The proportion of green facilities is 19.8%, indicating that a good green environment is also an important factor that people are willing to stay. The proportion of landscape and green facilities is close to each other, and the attractiveness to people is similar. Waterscape is also the form of landscape that people love. Therefore, green landscape is an important factor to be considered in the design of landscape space, followed by rest facilities. Comfortable and pleasant community landscape design can enhance the happiness of people’s lives, and the contents discussed in this paper are of great significance to the design of landscape space.
Intelligent control system of port turning line based on WITNESS software
Authors: Li Hongjun 
Published: July 2023

Abstract
In order to improve the efficiency of the intelligent control system of the port tipping line, this paper builds a port tipping line simulation intelligent control system based on WITHNESS software. Firstly, through ARTG (Konecranes Automation System) control switch, the simulation model of single-vessel loading and unloading transportation of the road network from the port front to the yard is established. Secondly, the Kalman filter algorithm and genetic algorithm are used to informally manage the port loading and unloading truck entry and exit data, and the assembly balance in the genetic algorithm is used to improve the data mining efficiency, and finally, the simulation system is tested for data. The results show that: the simulation system WITHNESS model constructed in this paper has an average time of 20.34 min for external collector trucks in the port dwell time, among which the number of vehicles with dwell time in [17/22] and [22/30] minutes is the majority accounting for a total of 60.7% of the total. Furthermore, the comparison of yard area reduction shows that the dwell time is 72.6%, 70.9%, and 87.5%, respectively, for yard area at different times. It can be seen that the simulation system WITHNESS model constructed in this paper helps to promote the development of port loading and unloading and can improve the effectiveness of loading and unloading work.
The Effect of Artificial Intelligence (AI) on Human Capital Management in Indonesia
Authors: Purwaamijaya Btari Mariska , Prasetyo Yogi 
Published: July 2023

Human resources in an organization is the capital for the organization and its performance is the main indicator for the organization to achieve its goals. In the current digital era, the shift in human resources is demonstrated by the application of Artificial Intelligence (AI) to organizations in Indonesia, both in companies and in several government organizations. A company has a responsibility to its stakeholders to do the job and get the desired profit. However, no research specifically discusses the analysis of the influence of AI (Machine Learning Algorithm, Deep Learning and Big Data) on Human Capital Management in Indonesia. This study aims to determine the effect of artificial Intelligence (AI) on Human Capital Management in Indonesia. This sample of this study is 85 respondents of organizational leaders and human resource managers (HR) in Indonesia. It can be concluded that adoption of Deep Learning and Big Data has a significant positive impact on Human Capital Management.
MSME Dexterity Analysis: Absorptive Capacity and Knowledge Stickiness in Endemic Era of Depok MSME’s
Authors: Chandra Yanita Ella Nilla , Barry Husnil , Firdaus Risya Zahrotul , Purwinarti Titik , Puspasari Ernita Dian 
Published: July 2023

This study aims to examine and investigate the effect of absorptive capacity on MSME’s agility, the effect of knowledge stickiness on the agility of MSME’s, and identify the key factors forming absorptive capacity and knowledge stickiness in MSME’s in Depok City. Testing the impact of MSME’s agility on economic resilience. Data were collected through a survey method with MSME’s in Depok City as the research population. The data analysis method using Partial Least Square (PLS). The study found that absorptive capacity had a significant negative effect on MSME’s agility, and knowledge stickiness had a significant positive effect on MSME’s agility. MSME’s agility is influenced by these two variables by 94.5% and the rest is influenced by other factors.
Self-Evaluation of Agro-Industry Prospective Teacher’s Skill at Vocational High School in Information and Communication Technology Literacy
Authors: Al Hajar Maulana Noor Fajri , Sugiarti Yatti , Maharani Shinta 
Published: July 2023

Information and communication technology skill (ICT) in the millennium era be able to enhance teacher’s professional competitiveness. Primarily, teachers be able to transfer important skills through ICT to students in high schools, especially in vocational schools. As a step toward realizing ICT literate teachers, the current research provides an overview of self-evaluation of prospective Agro-industry teachers to find out their ICT skills during college. The results were presented as a projection of the prospective teachers to use ICT in their classrooms when they become teachers. A total of students from the first to fifth year were involved in the current research which then were analyzed in a simple quantitative to describe students’ ICT skills. The results based on the average score of ICT skill showed that there is a tendency for second year students and third year students to rate themselves good in ICT. They are currently active in the classroom lectures. Then, fisrt year students tend to rate themselves lower in ICT because they are still in the adaptation phase from high school to college. Meanwhile, fourth year students and fifth year students tend to have decreased ICT skill due to less classroom activities, and focus on completing their final assignment as undergraduate students. We conclude that the prospective teachers in each college year have almost identical ICT skills based on the average score. According to this description, study program and faculty develop strategies and support facilities in order to maintain and even enhance the ICT skills of Agro-industry prospective teachers.
Metro Girl: The Alliance of Art and Architecture in the Visual Aesthetics of the Modern Georgian City of the 1960s
Authors: Manning Paul 
Published: July 2023

Abstract
This article explores the way a new specifically Georgian post-Stalinist art form (cheduroba, metal engraving) that emerged in the 1960s became a commonly encountered emblematic feature of the equally new urban spaces of the rapidly changing modernist Tbilisi cityscape. This new, and yet seemingly old, art form, which frequently featured the face of a traditional Georgian girl, usually a Khevsur girl from the mountains, came to be a diagnostic part of the modern urban assemblage of Tbilisi in the 1960s. This traditional face from the Georgian past became a paradoxical figure for the alliance of art and architecture in the visual aesthetics of the modern Georgian city in the 1960s, and the art form became the stereotypical “face” of a specifically Georgian post-Stalinist “traditional-modernist” public urban art. This art form soon became diagnostic of modern Georgian urban spaces, like the Tbilisi metro, which also opened around the same time in the 1960s. The recurrent distribution of this face across newly-created modernist urban spaces together formed a Georgian version of “socialist modernism,” producing a visually-experienced “brand of socialism” for urban spaces, a procession of images traditional or national (in style or theme) in socialist modernist spaces connecting the traditional architecture of the city to the modernist architectural spaces of the new socialist city of the 1960s.
Ergonomics in apiculture: A case study based on inspecting movable frame hives for healthy bee activities
Authors: Fels Deborah , Blackler Alethea , Cook Daniel , Foth Marcus 
Published: July 2023

<p>The agricultural sector suffers from high risk of injury and damage to human health. There is considerable research not only identifying these risks but also finding ways to mitigate them. Beekeeping or apiculture, recognised as part of this sector, has many risk factors such as heavy lifting, high degree of manual materials handling, twisting, and awkward positioning common to all agriculture areas. It also has some unique risks such as those resulting from bee stings and smokers. However, there is much less attention focused on the health and safety of apiculture to the human beekeepers, and much more attention focused on bee health and safety. An ergonomics case study on beekeeping inspection tasks involving three independent, local beekeepers showed that many tasks involve awkward positions of the body, arms and hands, excessive lifting well beyond recommended weight limits, eye strain, and chemical and sting exposure. In addition, beekeepers are more interested in bee and hive health rather than reducing human-centred risk factors such as those due to excessive lifting. Standard ergonomics interventions such as a magnifier inspection and lift assist systems as well as interventions unique to beekeeping such as a smokeless method of calming bees are recommended. The beekeeping industry seems to have been forgotten in the modernisation of technology and agricultural practices. This paper offers some initial insights into possible points for research, development and improvements. </p>
Ozone pretreatment of humid wheat straw for biofuel production
Authors: Al jibouri Ali Kamel H. , Turcotte Ginette , Wu Jiangning , Cheng Chil-Hung 
Published: July 2023

<p>In an attempt to maximize the amount of ozone reacting with lignin inside humid wheat straw, some of the ozone-reactive lignin degradation products were washed away before a second ozonolysis delignification stage. The total contact time for the two stages was kept the same as that for a one-stage process for comparison. A significant decrease in the Acid Insoluble Lignin (AIL) content of the straw resulted: from 13.04 wt. % (after a 30-min one-stage ozonolysis) to 9.34 wt. % (after a 30-min two-stage ozonolysis, separated by a washing step). This significant improvement was accompanied by an increase in released fermentable sugars from an enzymatic hydrolysis. The yield increased from 60% theoretical sugars to 80%. A further improvement in AIL (down to 7.36 wt. %) and released sugars (up to 90% theoretical) occurred when the moisture content (MC) of the straw entering the second stage was adjusted to the optimum value of the straw entering first stage (45 wt. %, predicted from an experimental design). The authors believe this is the first time results are published for the introduction of a two-stage process separated by a washing step.</p>
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Exploration of epithelial-mesenchymal transition-related lncRNA signature and drug sensitivity in breast cancer
Authors: Li Chengxin , Zheng Lewei , Xu Gaoran , Yuan Qianqian , Di Ziyang , Yang Yalong , Dong Xingxing , Hou Jinxuan , Wu Gaosong 
Published: July 2023

BackgroundBreast cancer (BRCA) has become the most diagnosed cancer worldwide for female and seriously endanger female health. The epithelial-mesenchymal transition (EMT) process is associated with metastasis and drug resistance in BRCA patients. However, the prognostic value of EMT-related lncRNA in BRCA still needs to be revealed. The aim of this study is to construct an EMT-related lncRNA (ERL) signature with accuracy predictive ability for the prognosis of BRCA patients.MethodsRNA-seq expression data and Clinical characteristics obtained from the TCGA (The Cancer Genome Atlas) were used in the study. First, we identified the EMT-related lncRNA by the Pearson correlation analysis. An EMT-related lncRNAs prognostic risk signature was constructed using univariate Cox regression and Lasso-penalized Cox regression analyses. The model’s performance was validated using Kaplan-Meier (KM) survival analysis, ROC curve and C-index. Finally, a nomogram was constructed for clinical practice in evaluating the patients with BRCA and validated by calibration curve and decision curve analysis (DCA). We also evaluated the drug sensitivity of signature lncRNA and the tumor immune cell infiltration in breast cancer.ResultsWe constructed a 10-lncRNA risk score signature based on the lncRNAs associated with the EMT process. We could assign BRCA patients to the high- and low-risk group according to the median risk score. The prognostic risk signature showed excellent accuracy and demonstrated sufficient independence from other clinical characteristics. The immune cell infiltration analysis showed that the prognostic risk signature was related to the infiltration of the immune cell subtype. Drug sensitivity analysis proved ERLs signature could effectively predict the sensitivity of patients to common chemotherapy drugs in BRCA and provide guidance for chemotherapy drugs for high-risk and low-risk patients.ConclusionOur ERL signature and nomogram have excellent prognostic value and could become reliable tools for clinical guidance.
Dysfunctional connectivity as a neurophysiologic mechanism of disorders of consciousness: a systematic review
Authors: Plosnić Gabriela , Raguž Marina , Deletis Vedran , Chudy Darko 
Published: July 2023

IntroductionDisorders of consciousness (DOC) has been an object of numbers of research regarding the diagnosis, treatment and prognosis in last few decades. We believe that the DOC could be considered as a disconnection syndrome, although the exact mechanisms are not entirely understood. Moreover, different conceptual frameworks highly influence results interpretation. The aim of this systematic review is to assess the current knowledge regarding neurophysiological mechanisms of DOC and to establish possible influence on future clinical implications and usage.MethodsWe have conducted a systematic review according to PRISMA guidelines through PubMed and Cochrane databases, with studies being selected for inclusion via a set inclusion and exclusion criteria.ResultsEighty-nine studies were included in this systematic review according to the selected criteria. This includes case studies, randomized controlled trials, controlled clinical trials, and observational studies with no control arms. The total number of DOC patients encompassed in the studies cited in this review is 1,533.ConclusionConnectomics and network neuroscience offer quantitative frameworks for analysing dynamic brain connectivity. Functional MRI studies show evidence of abnormal connectivity patterns and whole-brain topological reorganization, primarily affecting sensory-related resting state networks (RSNs), confirmed by EEG studies. As previously described, DOC patients are identified by diminished global information processing, i.e., network integration and increased local information processing, i.e., network segregation. Further studies using effective connectivity measurement tools instead of functional connectivity as well as the standardization of the study process are needed.