bluuebunny/crossref_metadata_2025 huggingface dataset:
Complex Chinese Word Segmentation Method Based on Hybrid Deep Learning Technology
Authors: Ma Ning
Published: February 2024

Aiming at the problems of incomplete semantic understanding and insufficient word position information in complex Chinese word segmentation, a large-scale multilingual database Chinese word segmentation method based on hybrid deep learning technology is proposed. In this scheme, the bidirectional context information is effectively used through the bidirectional threshold circulation unit, and the long-distance dependency information is effectively modeled by the BiLSTM model. At the same time, the dependency between the output tags can be considered through the CRF layer. Then a double byte query method is proposed to expand the CRF model, and the whole process is realized by machine learning and training. The simulation results show that the hybrid model makes full use of the advantages that BiLSTM can extract local information by using long-distance information and CNN, and it can complete the task of Chinese word segmentation more efficiently and accurately. Under the same experimental conditions, the performance is improved by about 30% compared with similar methods.
Analysis of Production Efficiency of Power Supply Enterprises Based on DEA Model and K-Means Clustering
Authors: Yang Longyu , Liu Zhijun , Ma Jing , Zhu Dongmei , Wang Rongrong , Ma Zhenhua
Published: February 2024

To improve the energy efficiency level of power enterprises, DEA data envelopment and K-means clustering are introduced to objectively and quantitatively evaluate the production efficiency of power supply enterprises. Firstly, according to the system requirements, we establish the energy efficiency evaluation index system of power supply enterprises from four aspects, and determine the important index value with weight distribution. On this basis, the traditional effective units are further distinguished by the analysis of SE-DEA. Then the quantitative results of the relative effectiveness of production efficiency can be acquired integrated with K-means algorithm. Finally, a specific case study is used to sort and evaluate the comprehensive efficiency in the production of power generation enterprises. The experimental results show that the model can overcome the deficiency of traditional evaluation model, and it provides a new method for power construction decision-makers and regulators to implement flexible management.
Art Image Identification Based on Feature Recognition and BP Neural Network
Authors: Li Hua
Published: February 2024

Aiming at the problems of low accuracy and large amount of calculation of existing art image recognition algorithms, a recognition method based on feature recognition was proposed. Firstly, the common technologies of feature extraction were analyzed and the flow of image recognition system based on neural network is put forward. Then, the algorithm based on the overall artistic style features of painting was extracted, and different histogram representation features were also obtained. Gabor was used to extract texture features, which was combined with MRF confidence propagation to infer the authenticity of image blocks. Finally, taking the identification of Chinese traditional painting as an example, the scheme of this paper was verified. The results showed that the algorithm can effectively extract the style feature vector of each painter, and it had a relatively stable average recall and precision.
Effects of ankle isokinetic training on muscle strength and balance amongst older women with mild Parkinson’s disease: A randomised trial
Authors: Xu Hanxiao , Liu Heng
Published: February 2024

BACKGROUND: Patients with Parkinson’s disease frequently experience problems with balance and gait. OBJECTIVE: This study examined the influences of regular ankle isokinetic muscle strength training on muscle strength and balance ability amongst elderly women with mild Parkinson’s disease. METHODS: A total of 55 elderly women with mild Parkinson’s disease were randomly divided into the experimental group (n= 28) and the control group (n= 27) for 16 weeks. The experimental group was trained for 16 weeks by using isokinetic muscle strength training. RESULTS: After 16 weeks of training in the experimental group, the peak torque (PT) of ankle (average of the left and right sides) dorsiflexion, plantarflexion, eversion and inversion, and the standing balance index revealed that the left and right stability and overall stability indexes significantly increased by 25.9%, 43.5%, 62.7%, 82.8%, 37.1% and 32.2%, respectively (p< 0.05). The experimental group exhibited significantly increased PT of ankle dorsiflexion, plantarflexion, eversion and inversion. Moreover, the left and right stability and overall stability indexes were significantly improved compared with those of the control group (p< 0.05). This study found a linear regression relationship between the PT of ankle inversion and overall stability index. CONCLUSION: This study determined that ankle isokinetic muscle strength training improved ankle dorsiflexion, plantarflexion, eversion and inversion muscle strength, and balance ability amongst elderly women with mild Parkinson’s disease. However, it did not improve stability in the anterior and posterior directions. Ankle inversion muscle strength is more likely to affect overall balance.
A risk model based on lncRNA-miRNA-mRNA gene signature for predicting prognosis of patients with bladder cancer
Authors: Zhao Zhi Yi , Cao Yin , Wang Hong Liang , Liu Ling Yun
Published: February 2024

OBJECTIVES:

We aimed to analyze lncRNAs, miRNAs, and mRNA expression profiles of bladder cancer (BC) patients, thereby establishing a gene signature-based risk model for predicting prognosis of patients with BC.

METHODS:

We downloaded the expression data of lncRNAs, miRNAs and mRNA from The Cancer Genome Atlas (TCGA) as training cohort including 19 healthy control samples and 401 BC samples. The differentially expressed RNAs (DERs) were screened using limma package, and the competing endogenous RNAs (ceRNA) regulatory network was constructed and visualized by the cytoscape. Candidate DERs were screened to construct the risk score model and nomogram for predicting the overall survival (OS) time and prognosis of BC patients. The prognostic value was verified using a validation cohort in GSE13507.

RESULTS:

Based on 13 selected. lncRNAs, miRNAs and mRNA screened using L1–penalized algorithm, BC patients were classified into two groups: high-risk group (including 201 patients ) and low risk group (including 200 patients). The high-risk group’s OS time ( hazard ratio [HR], 2.160; 95% CI, 1.586 to 2.942; [Formula: see text] 5.678e-07) was poorer than that of low-risk groups’ (HR, 1.675; 95% CI, 1.037 to 2.713; [Formula: see text] 3.393 e-02) in the training cohort. The area under curve (AUC) for training and validation datasets were 0.852. Younger patients (age [Formula: see text] 60 years) had an improved OS than the patients with advanced age (age [Formula: see text] 60 years) (HR 1.033, 95% CI 1.017 to 1.049; [Formula: see text] 2.544E-05). We built a predictive model based on the TCGA cohort by using nomograms, including clinicopathological factors such as age, recurrence rate, and prognostic score.

CONCLUSIONS:

The risk model based on 13 DERs patterns could well predict the prognosis for patients with BC.
HFD: Hierarchical feature decoupling for SQL generation from text
Authors: Zhang Xu , Hu Xiaoyu , Liu Zejie , Xiang Yanzheng , Zhou Deyu
Published: February 2024

Text-to-SQL, a computational linguistics task, seeks to facilitate the conversion of natural language queries into SQL queries. Recent methodologies have leveraged the concept of slot-filling in conjunction with predetermined SQL templates to effectively bridge the semantic gap between natural language questions and structured database queries, achieving commendable performance by harnessing the power of multi-task learning. However, employing identical features across diverse tasks is an ill-suited practice, fraught with inherent drawbacks. Firstly, based on our observation, there are clear boundaries in the natural language corresponding to SELECT and WHERE clauses. Secondly, the exclusive features integral to each subtask are inadequately emphasized and underutilized, thereby hampering the acquisition of discriminative features for each specific subtask. In an endeavor to rectify these issues, the present work introduces an innovative approach: the hierarchical feature decoupling model for SQL query generation from natural language. This novel approach involves the deliberate separation of features pertaining to subtasks within both SELECT and WHERE clauses, further dissociating these features at the subtask level to foster better model performance. Empirical results derived from experiments conducted on the WikiSQL benchmark dataset reveal the superiority of the proposed approach over several state-of-the-art baseline methods in the context of text-to-SQL query generation.
Effects of Mindfulness Based Interventions in Adults and Older Adults Caregivers of Patients with Early Stage Alzheimer’s Disease: A Randomized Pilot Study
Authors: Giulietti Maria Velia , Fabbietti Paolo , Spatuzzi Roberta , Vespa Anna
Published: February 2024

Background:

Many studies have highlighted the effect of training with mindfulness-based interventions (MBIs) on the psycho-physical rebalancing of patients suffering from various pathologies, and their families.

Objective:

In this study, the effect of a training with mindfulness-based stress reduction (MBSR) on quality of life and emotion regulation (depression) was verified in caregivers (CGs) of patients affected by Alzheimer’s disease at early stage (AD-P).

Methods:

In this randomized controlled study, 22 CGs (age≥60 years) were treated with MBIs, in particular MBSR, and 22 CGs had no treatment. Tests (T0-T1 six months) included: SF 36-Quality of Life (QoL); Caregiver Burden Inventory (CBI); FACIT-Spiritual-Well-Being; Beck Depression Inventory (BDI); Everyday Cognition scales; and Mini-Mental State Examination (for AD-P).

Results:

Significant differences emerged between T0 and T1 for CGs with MBSR in the following dimensions: Depression-BDI ( p > 0.001), Burden CBI-Total (0.001), CBI-Time dependent burden ( p < 0.001), CBI-Developmental burden ( p < 0.001), CBI-Physical burden ( p < 0.001); and pain ( p = 0.002) all decreased; while CBI-Social burden ( p = 0.004), QoL-Health Role Limitation ( p < 0.000), QoL-Role-Limitation-Emotional-Problem ( p < 0.000), QoL-Energy-fatigue ( p < 0.000), QoL-Emotional Well-Being ( p < 0.001), QoL-Social Well Being ( p = 0.010), and QoL-General Health ( p = 0.004) increased. The control group of untreated CG showed a significant worsening in the dimensions of Physical functioning ( p = 0.036) and pain ( p = 0.047).

Conclusions:

AD-CGs treated with MBI reduced their burden and depression and experienced an improvement in all the dimensions of quality of life.
Using Neuroimaging to Study Cerebral Amyloid Angiopathy and Its Relationship to Alzheimer’s Disease
Authors: Wheeler Koral V. , Irimia Andrei , Braskie Meredith N.
Published: February 2024

Cerebral amyloid angiopathy (CAA) is characterized by amyloid-β aggregation in the media and adventitia of the leptomeningeal and cortical blood vessels. CAA is one of the strongest vascular contributors to Alzheimer’s disease (AD). It frequently co-occurs in AD patients, but the relationship between CAA and AD is incompletely understood. CAA may drive AD risk through damage to the neurovascular unit and accelerate parenchymal amyloid and tau deposition. Conversely, early AD may also drive CAA through cerebrovascular remodeling that impairs blood vessels from clearing amyloid-β. Sole reliance on autopsy examination to study CAA limits researchers’ ability to investigate CAA’s natural disease course and the effect of CAA on cognitive decline. Neuroimaging allows for in vivo assessment of brain function and structure and can be leveraged to investigate CAA staging and explore its associations with AD. In this review, we will discuss neuroimaging modalities that can be used to investigate markers associated with CAA that may impact AD vulnerability including hemorrhages and microbleeds, blood-brain barrier permeability disruption, reduced cerebral blood flow, amyloid and tau accumulation, white matter tract disruption, reduced cerebrovascular reactivity, and lowered brain glucose metabolism. We present possible areas for research inquiry to advance biomarker discovery and improve diagnostics.
Multimorbidity, Social Engagement, and Age-Related Cognitive Decline in Older Adults from the Rancho Bernardo Study of Healthy Aging
Authors: Posis Alexander Ivan B. , Shadyab Aladdin H. , Parada Humberto , Alcaraz John E. , Kremen William S. , McEvoy Linda K.
Published: February 2024

Background:

Multimorbidity is associated with increased rate of cognitive decline with age. It is unknown whether social engagement, which is associated with reduced risk of dementia, modifies associations between multimorbidity and cognitive decline.

Objective:

To examine the associations of multimorbidity with longitudinal cognitive test performance among community-dwelling older adults, and to determine whether associations differed by levels of social engagement.

Methods:

We used data from the Rancho Bernardo Study of Healthy Aging, a community-based prospective cohort study. Starting in 1992–1996, participants completed a battery of cognitive function tests at up to 6 study visits over 23.7 (mean = 7.2) years. Multimorbidity was defined as≥2 of 14 chronic diseases. Social engagement was assessed using items based on the Berkman-Syme Social Network Index. Multivariable linear mixed-effects models were used to test associations of multimorbidity and cognitive performance trajectories. Effect measure modification by social engagement was evaluated.

Results:

Among 1,381 participants (mean age = 74.5 years; 60.8% women; 98.8% non-Hispanic White), 37.1% had multimorbidity and 35.1% had low social engagement. Multimorbidity was associated with faster declines in Mini-Mental State Examination (MMSE; β= –0.20; 95% CI –0.35, –0.04), Trail-Making Test Part B (β= 10.02; 95% CI 5.77, 14.27), and Category Fluency (β= –0.42; 95% CI –0.72, –0.13) after adjustment for socio-demographic and health-related characteristics. Multimorbidity was associated with faster declines in MMSE among those with low compared to medium and high social engagement ( p-interaction < 0.01).

Conclusions:

Multimorbidity was associated with faster declines in cognition among community-dwelling older adults. Higher social engagement may mitigate multimorbidity-associated cognitive decline.
Relationship between Loneliness and Mild Behavioral Impairment: Validation of the Japanese Version of the MBI Checklist and a Cross-Sectional Study
Authors: Matsuoka Teruyuki , Ismail Zahinoor , Imai Ayu , Shibata Keisuke , Nakamura Kaeko , Nishimura Yukihide , Rubinstein Ellen , Uchida Hiroyuki , Mimura Masaru , Narumoto Jin
Published: February 2024

Background:

Mild behavioral impairment (MBI) and loneliness are associated with cognitive decline and an increased risk of dementia.

Objective:

Our aim was to examine the validity of the Japanese version of the MBI checklist (MBI-C) and investigate the relationship between loneliness and MBI.

Methods:

The participants in this cross-sectional study included 5 cognitively normal persons and 75 persons with mild cognitive impairment. MBI-C and the revised University of California at Los Angeles loneliness scale (LS) were used to assess MBI and loneliness, respectively. Diagnostic performance of MBI-C was examined using receiver operating characteristic analysis. The relationship between MBI-C and LS was examined using multiple linear regression in 67 subjects who were assessed with both scales, with MBI-C total or domain score as the dependent variable and LS as the independent variable, adjusted for age, gender, living situation, presence of visual and hearing impairment, and Mini-Mental State Examination score.

Results:

Per the Youden index, in this mostly MCI sample, the optimal MBI-C cut-off score was 5.5 with sensitivity 0.917 and specificity 0.949. In multiple linear regression analysis, LS score was detected as a significant predictor of MBI-C total scores, and MBI-C decreased motivation, affective dysregulation, and abnormal thought and perception scores.

Conclusions:

The caregiver-rated Japanese MBI-C has excellent diagnostic performance. Loneliness is associated with a greater MBI burden, especially in the decreased motivation, affective dysregulation, and abnormal thought and perception domains. Interventions for loneliness in older people may have the potential to improve MBI.
The Predictive Ability of Blood Neurofilament Light Chain in Predicting Cognitive Decline in the Alzheimer’s Disease Continuum: A Systematic Review and Meta-Analysis
Authors: Li Jianhong , Yang Minguang , Wei Renli , Cao Yue , Fan Xu , Zhang Shenghang
Published: February 2024

Background:

Alzheimer’s disease (AD) is a neurodegenerative disease with insidious onset. Identifying candidate predictors to forecast AD dementia risk before disease onset is crucial for early diagnosis and treatment.

Objective:

We aimed to assess the predictive ability of blood neurofilament light (NfL) chain in anticipating cognitive decline in the AD continuum.

Methods:

We systematically searched PubMed, Web of Science, and Embase from inception until April 7, 2023. Longitudinal observational studies examining the association between baseline blood NfL and cognitive decline or clinical disease conversion were included based on inclusion/exclusion criteria. The final effect size was represented by adjusted hazard ratios (HR) or standardized beta (s.β) coefficients with a 95% confidence interval (CI).

Results:

A total of 2,862 articles were identified, and 26 studies were included in this meta-analysis. The results indicated that baseline blood NfL could predict cognitive decline, with MMSE [s.β= –0.17, 95% CI (–0.26, –0.07)]; PACC [s.β= –0.09, 95% CI (–0.16, –0.03)]; ADAS-cog [s.β= 0.21, 95% CI (0.13, 0.29)]; CDR-SOB [s.β= 0.27, 95% CI (0.03, 0.50)]; Global cognitive composite [s.β= –0.05, 95% CI (–0.08, –0.01)]; Memory subdomain [s.β= –0.06, 95% CI (–0.09, –0.03)]; Language subdomain [s.β= –0.07, 95% CI (–0.10, –0.05)]; Executive function subdomain [s.β= –0.02, 95% CI (–0.03, –0.01)]; Visuospatial subdomain [s.β= –0.06, 95% CI (–0.08, –0.04)]. Additionally, baseline blood NfL could predict disease progression (conversion from CU/SCD/MCI to MCI/AD) in the AD continuum [Adjust HR = 1.32, 95% CI (1.12, 1.56)].

Conclusions:

Baseline blood NfL demonstrated predictive capabilities for global cognition and its memory, language, executive function, visuospatial subdomains decline in the AD continuum. Moreover, it exhibited the potential to predict disease progression in non-AD dementia participants.
The Effects of Pomegranate Seed Oil on Mild Cognitive Impairment
Authors: Chatzikostopoulos Thanos , Gialaouzidis Moses , Koutoupa Anna , Tsolaki Magda
Published: February 2024

Background:

In recent years, there has been a growing interest, supported by many experimental and clinical studies, about the benefits of pomegranate in preventing various pathologic conditions, including brain neurodegeneration. The pomegranate seed oil (PSO) contains high levels of fatty acids that have antioxidant and anti-inflammatory properties.

Objective:

Due to the lack of clinical trials, the aim of the present study was to investigate the effects of PSO on cognition of people with mild cognitive impairment (MCI).

Methods:

Eighty people with the diagnosis of MCI were randomized forty to take 5 drops of PSO and follow the Mediterranean Diet (MeDi) and forty just followed MeDi. All were examined with an extensive neuropsychological assessment before and after one year of treatment.

Results:

The results showed that the participants who took the PSO had statistically significantly better global cognition ( p = 0.004), verbal episodic memory ( p = 0.009), and processing and executive functions ( p < 0.001) in contrast with the participants who did not take it.

Conclusions:

In conclusion, the PSO can be beneficial for people with MCI as it is helpful for some important cognitive domains. As PSO is a natural product that does not burden the human body, it can be used by people with MCI and be a significant and promising part of holistic approaches for the prevention of dementia.
A comparative analysis of online learning versus face-to-face learning approach in problem based learning in dentistry
Authors: Li Guang , Alam Beenish Fatima , Bashir Raima , Tarhini Ali , Nayab Talha
Published: February 2024

BACKGROUND: Problem-based learning (PBL), a student-centered approach which has been implemented in many educational institutes worldwide. OBJECTIVES: This study aimed to evaluate and compare the proficiency of students in 5 key areas of PBL process and assess perceptions of students towards PBL learning using a self-explanatory questionnaire. METHOD: This cross-sectional study was conducted from March 2020 to September 2022 and evaluated perceptions of 1st year dental students of Batch 2021 (having Face-to-face PBL sessions) and batch 2020 (having online PBL sessions) using a questionnaire. Three similar PBL cases were used, which assessed PBL parameters that included attendance, group dynamics, knowledge, communication skills and preparation. Statistical analysis was performed for all the categorical and continuous variables. RESULTS: Majority of Distance Learning (DL) group (66.7%) concurred that PBL helped improve their communication skills, decision making power (66.7%), self-directed learning (80%) and promoted interaction with peers (66.7) and teachers (68.9%). The Face –to- Face (FF) group demonstrated better scores (7.7±2.42 & 7.55±2.55) with respect to their attendance and group dynamics (7.44±2.17 & 8.02±2.40) in PBL 1 & 3 as compared to DL group. Overall, better performance in all the 5 key areas of PBL was observed for the FF group versus the DL group. CONCLUSION: The Distance learning (DL) group displayed a positive attitude and perception towards PBL as a learning strategy whereas Face-to-face (FF) group showed greater performance and proficiency in the key PBL parameters scores.
Sociodemographic factors, health behavior, parental or workplace smoking, and adult asthma risk in the United States
Authors: Alwadeai Khalid S.
Published: February 2024

BACKGROUND: Although several studies have found a link between parental or workplace smoking and asthma risk, particularly in children and adolescents, only a few studies have found this link in adults. OBJECTIVE: This study aimed to investigate the associations of sociodemographic factors, health behavior, and parental or workplace smoking with adult asthma risk in the United States (US). METHODS: A secondary data analysis on 874 participants aged 25–45 was performed using data from the 2011–2014 National Survey of Midlife Development in the United States Refresher. Participants were divided into smokers and nonsmokers. Participants were further divided into groups A (a father or mother with a smoking history) and B (others in the house or colleagues in the workplace who had a smoking history). RESULTS: Findings from the FREQ procedure revealed that sociodemographic (female, black, school or college education, unmarried/divorced, and employed) and lifestyle (no alcohol intake, physically inactive, and obese) and clinical (diabetes and joint disease) factors were significantly associated with one- or more-fold odds of asthma among adult smokers than nonsmokers. Adult smokers in group A, particularly females, those with a high school or college education, physically inactive, and overweight or obese, had a higher risk of asthma than those in group B. CONCLUSION: Adult smokers’ risk of developing asthma is increased in the US by having smoked with their parents, being a woman, being black, having a school or college education, being single or divorced, working, not drinking alcohol, being physically inactive, being obese, having diabetes, and having a joint disease.
Nature and lineages in the novel LeMas Théotime of Henri Bosco
Authors: Premat Christophe
Published: February 2024

The novel _Le Mas Théotime _is characteristic of Henri Bosco’s style marked by a syncretic mysticism mixing Pagan and Christian symbols. The pastoral writing illustrates a deep struggle between unknown drives. The hypothesis of this article is that these spiritual forces are linked to old alliances between families. To some extent, the pastoral narrative activates ethnic links between characters that are not always conscious about the power of these relations. By referring to the dream analysis proposed by Carl Gustav Jung, it is possible to read the pastoral in _Le Mas Théotime _as an ancestral tragedy where old alliances can be betrayed and questioned.
Evolution and Challenges of DDR: A Policy Review Through the Prism of Colombia's Three-Generational Experience
Authors: Rodriguez Castellon Jose Miguel
Published: February 2024

This paper delves into the evolution of disarmament, demobilization, and reintegration (DDR) in Colombia, tracing its transformation across three generations. It contends that Colombia's extensive DDR experience, shaped by its enduring conflict and successive peace processes, provides valuable lessons for post-conflict peacebuilding and ex-combatant reintegration. Through a comprehensive policy review, the study examines the development of DDR strategies, highlighting their responsiveness to evolving conflict dynamics. Utilizing a diverse range of sources, the research provides a nuanced understanding of Colombia's unique DDR context. The paper emphasizes the shift from narrow disarmament and demobilization approaches to more comprehensive strategies that encompass political, social, and economic aspects of reintegration. It underscores the importance of context-specific, coordinated, and culturally sensitive DDR initiatives for sustainable peace and stability. By showcasing Colombia's dynamic DDR experience, the research offers strategic lessons relevant for global DDR practices, enriching the discourse on conflict resolution and peacebuilding.
Does the Resilience learning game facilitate open innovation and global citizenship reflecting sustainability in Greek IT and Telecom industry?
Authors: Makri Eleni G.
Published: February 2024

Multimedia learning and development depicts a long-standing challenge for immersive design and regenerative learning in education and industry. Contradictory findings for gaming learning outreach in relation to conventional learning mode seem to turn the learning gameplay challenge into an enduring one. Limited research outcomes exist not only for open innovation (inflow and outflow innovation aspects) but also for global citizenship reflecting sustainability in education and learning game technology, in particular. Therefore, this study rests on exploring open innovation and global citizenship attributes reflecting sustainability in traditional and learning gameplay modes within an IT and Telecom industry setting. We report on 59 Greek employees’ open innovation and global citizenship knowledge, attitudes and skills investigated after-workshop and after-Resilience gaming training in 2023. The attendees perceived the game as more constructive learning and development tool for open innovation and global citizenship capacity compared to conventional learning delivery. Open innovation was connected to aspects of global citizenship (diversity, interpersonal and problem-solving, and seeking knowledge about political/societal issues) that reflect sustainability post-Resilience gaming. Legal male gender and Athens municipality origin were associated with higher open innovation and diversity (element of global citizenship) attributes post-Resilience gameplay. The obtained evidence is discussed alongside theoretical and practical reflection and strands for additional research in learning game open innovation and global citizenship (sustainability) outreach in education and industry.
Security in cyber physical systems: Transformation and challenges
Authors: Bindra Sandeep Singh , Aggarwal Alankrita
Published: February 2024

Network technology has significantly improved due to the growing use of Cyber-Physical Systems (CPS) in various industries, including healthcare, transportation, and communication. The efficiency of these domains has increased overall due to the transmission of sensor data to the cloud and its use by various apps. However, increased data transfer increases the risk of unauthorized modification and data breaches. The degree of risk varies per domain, and security is a crucial area of concentration to mitigate these concerns. Significant developments in network technology have resulted from the growing use of Cyber-Physical Systems (CPS) in various industries, including healthcare, transportation, and communication. The efficiency of these fields has increased overall due to sensor data being sent to the cloud and used by various applications. However, data breaches and unauthorized alteration are risks that come with increased data flow. Depending on the domain, the risk level varies, and security is a key concern in addressing these concerns.
Musculoskeletal melioidosis in a 33-year-old farmer presenting with the right leg cellulitis: A case report from North India
Authors: Jindal Anmol , Chawla Kunal , Gulati Shipra , Dessai Rishikesh
Published: February 2024

Melioidosis, caused by Burkholderia pseudomallei, has been described as “the great mimicker” due to its varied clinical presentation. Musculoskeletal melioidosis is a rare presentation of this disease, and here we report a 33-year-old male, farmer from Madhya Pradesh, who presented with fever for 2 months and right leg swelling for 25 days. He was treated elsewhere as cellulitis and managed with intravenous antibiotics and fasciotomy. Magnetic resonance imaging knee and leg showed diffuse osteomyelitis of the upper tibia with similar tiny foci and sinus tract present. A diagnosis of the right knee septic arthritis with multifocal osteomyelitis was made. Focal pus culture grew pansensitive B. pseudomallei. He was started on Inj. Meropenem and oral cotrimoxazole tablet. He also underwent right tibial debridement, sequestrectomy, and saucerisation. He was discharged after initial therapy and has improved significantly on follow-up. This case highlights a very common clinical condition caused by a rather uncommon etiological agent and therefore renumerates the importance of insightful clinical suspicion with appropriate use of investigations and treatment options to prevent further morbidity and mortality.
Case report of a type II single umbilical artery seen in the first trimester anomaly scan
Authors: Vakil Smit Hiren , Mehta Mona
Published: February 2024

Umbilical arteries normally originate from a pair of allantoic arteries. Obliteration or non-formation of any of the two umbilical arteries gives rise to a single umbilical artery (SUA). 0.5–1% of fetuses show the presence of a SUA. A rarer abnormality is when a SUA is found originating from the abdominal aorta, representing the persistent vitelline artery. Such an anomaly is termed Type II SUA. Here, we present a case of Type II SUA in a 30-year-old first trimester gravid female. Obstetric ultrasound done in the first trimester showed non-visualization of the umbilical arteries adjacent to the urinary bladder. Instead, an aberrant, large vessel was seen tracking anteriorly from the aorta towards the umbilical cord. The aorta distal to the origin of this aberrant vessel appeared hypoplastic.
TRENDS OF BUDGET FINANCING PROCESSES OF RECOVERY OF THE COUNTRY'S ENVIRONMENTAL STATE
Authors:   State Tax University, Sokur Maryna
Published: February 2024

The urgency of addressing environmental challenges is further underscored by the escalating threats of pollution, biodiversity loss, adverse impacts on public health, and the specter of climate change. These multifaceted issues necessitate a nuanced and comprehensive approach to mitigate their effects successfully. However, the absence of cohesive, integrated strategies, coupled with the pernicious presence of corruption and ambiguity in assigning responsibility, can significantly impede the resolution of these problems, compelling the allocation of substantial financial resources. Successfully executing ecological restoration programs demands the resolution of technological challenges, the implementation of effective cost controls, and a steadfast commitment to avoiding corruption. This imperative underscore the need for a holistic approach and integrated strategies focused on the judicious utilization of budgetary funds, coupled with active public engagement. In light of these considerations, budgetary financing for environmental restoration emerges as a pressing task and a pivotal factor in ensuring sustainable development and the safeguarding of natural resources. This approach not only acknowledges the global scale of environmental issues but also emphasizes the imperative for international collaboration to attain successful outcomes in confronting ecological challenges. Moreover, recognizing the interconnected nature of environmental issues compels us to transcend national boundaries and foster collaboration on a global scale. Achieving these collaborative efforts will require diplomatic negotiations, shared technological advancements, and a collective commitment to addressing the root causes of environmental degradation. In this context, international partnerships and cooperation become indispensable components of the solution. In conclusion, the imperative of addressing environmental challenges demands a multifaceted approach that combines local and global efforts, emphasizing the significance of effective financial strategies, technological innovations, and international cooperation. As the world grapples with these issues, a collective commitment to responsible environmental stewardship becomes paramount for the well-being of current and future generations.
A CONCEPTUAL APPROACH TO THE FORMATION OF ECONOMICALLY PROFITABLE PROPOSALS WHEN PERFORMING STATE PROCUREMENTS
Authors:   Classical Private University, Mashchenko Olha , Yeromin Serhii ,   Classical Private University
Published: February 2024

Public procurement is important in economic activity, especially during the period of martial law, when providing state bodies and state-owned enterprises with everything necessary for their activities has a strategic priority. Ways to improve the efficiency of the public procurement system require scientific justification, ensuring the economic interests of all participants: the state, customers and suppliers. Modern scientific opinion mainly pays attention to increasing the efficiency of the public procurement system from the point of view of customers, i.e. ensuring the purchase of goods and services of the highest quality at the lowest prices. At the same time, the interests of suppliers are not taken into account. In the article, the question of increasing the effectiveness of proposals in the implementation of public procurement is considered from the supplier's point of view. Criteria for the effectiveness of the supplier's activity have been developed, which include the ratio of successful offers, the ratio of the reserve of the price offer and the ratio of the relative time spent on the formation of the offer. The concept of the formation of profitable offers is proposed, in which decision-making on the formation of the offer is carried out in stages, taking into account the above criteria. The first and last (fifth) stages of the concept do not involve making a decision, but they are used to collect information necessary for making a decision and determine limitations on the value of performance criteria. A separate stage of the concept of proposal formation is the assessment of risks and the use of tools to reduce their impact on the effectiveness of the proposal. Special attention is paid to the legally defined features of operation during martial law, in particular the use of Prozorro Market as a tool for improving the efficiency of the supplier in the public procurement system. The need for constant monitoring of legislation in view of frequent changes and additions to public procurement procedures was emphasized. Implementation of the proposed concept will make it possible to take into account the interests of suppliers and increase the efficiency of activities in the field of public procurement as a whole.
EVOLUTION OF THE LABOR MARKET CATEGORY IN ECONOMIC THOUGHT
Authors:   Donetsk National University of Economics and Trade, Fedotova Tatyana
Published: February 2024

In the history of economic studies, there were various concepts, theories and schools, the basis of which evolution was based on differences in the methodology and methods of analysis, in the knowledge of the subject and the object of research, the role of the nature of work and the functioning mechanism of the labor market. A significant contribution was made by the founders of classical political economy to the understanding of the labor market functioning mechanism, who for the first time began to consider the category of "labor market" at the scientific level. The definition of the labor market, given by K. Marx, was taken as a basis many years ago when researching the labor force category and was defined as the most complete and correct, and it remains so today. The theoretical postulates of K. Marx's theory still remain the basis of the modern views of the majority of scientists regarding the essence of work and the labor market. A significant contribution to the definition of the labor market functioning mechanism was made by J. M. Keynes and his school, who developed their own powerful concept of economic regulation, and the Keynesian model of the labor market and employment is based on the need for government intervention in the management of macroeconomic processes. Monetarists had opposite positions to Keynesians, denying the need for state intervention in macroeconomic activity due to the fact that the market economy is a self-adjusting system, a price mechanism that determines the rational level of employment, and the use of monetary policy tools is necessary to balance the labor market. The institutional sociological school proposes to solve employment problems through institutional reforms; she brought two modifications to economic thought – the "contract theory of employment" and the "theory of the flexible labor market", which are still relevant today. Among modern domestic researchers, there is still no consensus on the definition of the labor market and its main elements. The main problematic points that cause the most controversy remain the same since classical times, and the ways of overcoming unemployment and leveling its consequences have not yet been found, and the achievement of full employment in the economy is still unattainable, and the measures developed by the analyzed schools of economics remain relevant, therefore it makes sense to carefully analyze them in order to borrow effective mechanisms. Objective – сomprehensive definition of the labor market category in a retrospective section in order to increase its content. General scientific methods were used as research methods: comparison, analysis and synthesis, generalization, analytical, descriptive, typification, grouping.
INCREASING THE EFFICIENCY OF THE ORGANISATION OF HOTEL AND RESTAURANT COMPLEXES BY USING INTERNATIONAL INFORMATION TECHNOLOGIES (ON THE EXAMPLE OF VARNA, BULGARIA)
Authors:   University of Economics, Varna, Republic of Bulgaria, Bielan Olha
Published: February 2024

The article the essence of international information systems and technologies in the hotel and restaurant sphere. The need to integrate software into the operation of hotel complexes and restaurants as a basis for the formation and strengthening of competitive advantages for business entities in the rapidly growing market of hotel and restaurant services is substantiated. The role and features of the use of individual tools of international information technologies and systems in the hotel and restaurant business are highlighted. Information and communication facilities, components and tools that enable the storage, access, monitoring, processing and transmission of information in digital form are described. The most popular and downloaded programs in the hotel and restaurant industry in the world according to the results are described. The most common trends in information systems and technologies in the hotel and restaurant business have been identified, including mobile technologies (mobile applications, chatbots, virtual queues, QR codes for menus), contactless payments, the Internet of Things, robots, and virtual tours. The use of information and communication technologies in popularity hotels in Varna is analyzed.
THE ESSENCE, TASK AND METHODS OF DIAGNOSTIC ECONOMIC ACTIVITY OF THE ENTERPRISE AT THE CURRENT STAGE OF THE DEVELOPMENT OF MANAGEMENT THEORY AND PRACTICE
Authors:   Oles Honchar Dnipro National University, Holey Julia
Published: February 2024

The article analyzes the theoretical aspects of the definition of the term "economic diagnostics" in relation to the enterprise. The essence of this category, its role and place in the activity of modern business entities is characterized. The specified role of economic diagnostics consists in the fundamental functions it performs from the point of view of management: the evaluation function (determining the current state of the enterprise as an object of management); diagnostic function (detection of all kinds of changes in the state of the enterprise as an object of management); search function (identification of those measures that help to form an information base for making reasonable management decisions for further improvement or restoration of the normal state of the enterprise as an object of management. Emphasis is placed on the fact that economic diagnostics allows following the logic of analysis and planning "from resources to strategy", which in modern conditions most closely corresponds to the current conditions of development of the national and world economy. A set of analytical tasks, which are solved by economic diagnostics in the process of implementation, is characterized. The main principles of economic diagnostics are highlighted: integration into the general system of analysis, scientific nature of research, complexity and systematicity, objectivity and specificity, accuracy and timeliness, activity and efficiency, taking into account industry specifics, etc. The main types of economic diagnostics are described, depending on: the selected object for analysis, the periodicity of the analysis, the method of obtaining primary information and the method of evaluating the results. The areas of conducting economic diagnostics are also given: diagnostics of the competitive environment, diagnostics of the competitive environment, diagnostics of the confrontation of enterprises, diagnostics of the competitiveness of the enterprise and product, diagnostics of the financial state, diagnostics of economic security, diagnostics of the cost of the enterprise, diagnostics of production potential, diagnostics of corporate culture, managerial diagnostics. The main methods of economic diagnostics are presented and described: quantitative methods and expert methods. The stages of research and the main requirements for the process itself are given.
МОДЕЛЬ ІННОВАЦІЙНОГО РОЗВИТКУ ТУРИСТИЧНИХ ДЕСТИНАЦІЙ В УКРАЇНІ
Authors: Дорож Роман , Адамовський Олександр
Published: February 2024

Стаття присвячена ролі інновацій у процесі функціонування туристичної сфери та обґрунтуванню моделі інноваційного розвитку туристичних дестинацій в Україні. Розглянуто основні підходи до розуміння сутності поняття «дестинації» та акцентовано увагу на їх особливостях у процесі функціонування туристичної галузі. Аргументовано, що з огляду на потребу постійного розвитку туристичних дестинацій на інноваційній основі необхідно комплексно підходити до вирішення цього питання. Представлено модель інноваційного розвитку туристичних дестинацій в Україні із врахуванням найважливіших моментів функціонування туристичних підприємств та чинників впливу на їх діяльність. Запропоновано підходи щодо підвищення рівня інноваційного розвитку туристичних дестинацій з позиції застосування ефективних важелів публічного управління, покращення фінансово-кредитного, нормативно-правового та інформаційного забезпечення туристичної галузі.
АНТИКРИЗОВЕ ФІНАНСОВЕ УПРАВЛІННЯ ПІДПРИЄМСТВОМ: ТЕОРЕТИЧНИЙ АСПЕКТ
Authors: Рябенко Галина , Верланов Олександр , Звягінцева Ольга , Клименко Світлана
Published: February 2024

У дослідженні висвітлено важливі аспекти антикризового фінансового управління підприємством та його значення для стійкості та конкурентоспроможності підприємств. Розглянуто особливості антикризового фінансового управління підприємством. Доведено необхідність проведення антикризового фінансового управління також і на успішно функціонуючих підприємствах та підприємствах, які мають порівняно благополучний фінансовий стан. Успішні підприємства повинні використовувати елементи антикризового фінансового управління для невпереджених заходів та побудови гнучких стратегій, які можуть адаптуватися до змін у зовнішньому середовищі. Врахування антикризових стратегій на успішних підприємствах дозволяє їм активно управляти ризиками та використовувати можливості для розвитку. Антикризове фінансове управління стає ключовим компонентом стратегічного планування, допомагаючи підприємствам виходити на нові рівні стійкості та успіху в умовах економічних нестабільностей. Зазначені фактори підкреслюють важливість інтеграції антикризового фінансового управління у загальну стратегію підприємства для забезпечення його витривалості та конкурентоспроможності.
ВПЛИВ ОРГАНІВ МІСЦЕВОГО САМОВРЯДУВАННЯ НА ФОРМУВАННЯ ІНВЕСТИЦІЙНОЇ ПРИВАБЛИВОСТІ ГРОМАД ТА ТЕРИТОРІЙ: АНАЛІЗ КРАЩИХ ПРАКТИК УКРАЇНИ ТА ПОЛЬЩІ
Authors: Лях Владислав
Published: February 2024

У статті досліджується питання інвестиційної привабливості українських громадах шляхом аналізу відповідностей українських та польських міст, які є найкращими для ведення бізнесу у своїх країнах згідно з міжнародними рейтингами, факторам інвестиційної привабливості. Дослідження дало змогу розробити практичні рекомендації для українських громад щодо підвищення інвестиційної привабливості та виокремити проблеми неефективності державного стимулювання для інвестиційних проектів в Україні та надати рекомендації з реформування державного стимулювання на основі досвіду Республіки Польща враховуючи диспропорції в економічному розвитку регіонів. Наведено фактори, які впливають на інвестиційну привабливість громад та рівень впливу на них зі сторони органів місцевого самоврядування Стаття формує основу для подальших дослідження, зокрема у розрізі окремих факторів інвестиційної привабливості та є важливою з огляду практичні рекомендації для українських органів місцевого самоврядування.
Analysis of Urban Land Use Changes in Xingtai City from the Year 2000 to 2020 for Urban Development Planning
Authors: Lu Xu , Xingtao Wei , FOO JURRY
Published: February 2024

Land use changes as a result of urban development are inevitable. This study is based on three aspects: spatial and temporal land use changes, spatial distribution characteristics, and the state of land resource development today. In this study, the land use status of Xingtai City over the previous 20 years is systematically examined using the global and local Moran's I value, information entropy for land use structures, and land use extent models. The results indicate that, firstly, the built-up land in Xingtai City has rapidly increased while farmland land has continued to decline, with a decrease of 9.93% in farmland and an increase of 84.16% in built-up land. Secondly, the utilisation rate of land resources in Xingtai City has increased annually, as has the l information entropy for land use structures, the extent of land use, and the comprehensive land use dynamic extent index. Qiaoxi District and Qiaodong District have the most significant upward trend. And thirdly, the land use types in the study area exhibit spatial aggregation characteristics, and single land use type cold and hot spots demonstrate spatial clustering.