bluuebunny/crossref_metadata_2025 huggingface dataset:
ЗАСТОСУВАННЯ АКТИВНИХ МЕТОДІВ НАВЧАННЯ У ПРОЦЕСІ ВИКЛАДАННЯ ПСИХОЛОГО-ПЕДАГОГІЧНИХ ДИСЦИПЛІН
Authors: Ольховецький Сергей
Published: December 2023

У статті обґрунтовано сутність та зміст організації активної пізнавальної діяльності студентів у вищій педагогічній школі. Представлено сучасні вимоги до процесу професійної підготовки майбутніх учителів. Охарактеризовано активні методи викладання психо
Digital competencies and the 21st century skills of university teachers in Nigeria
Authors: Ogunbodede Kolawole Francis , Ewata Thompson O. , Kumar Amit , Okediji Oyekanmi Gabriel
Published: December 2023

The study examined university teachers’ digital literacy in Nigeria’s south-south geopolitical region. The descriptive survey approach was used, and three research questions served as the study’s direction. Data were gathered via an online questionnaire. SPSS version 23 was used to calculate the mean and standard deviation after frequency counts and simple percentages were used to evaluate the data while the independent t-test was used to test the hypothesis. The online survey was distributed to 200 faculty members, and 91 of them fill it out, yielding a 46% response rate. The sample for the study consisted of 91 lecturers who answered the online survey. Two measurement and evaluation specialists and two experts in digital technology evaluated the questionnaire. Cronbach’s alpha was employed to determine the instrument’s dependability, and the result was 0.74. The results showed that university lecturers possess high levels of both fundamental and multidimensional digital competence. The survey found that among the difficulties experienced by university teachers in acquiring digital skills were a lack of opportunity for information and communication technology (ICT) training, the high cost of ICT literacy training, inadequate ICT facilities, and a lack of sponsorship. Lastly, the outcome of the hypothesis test indicates that there is no statistically substantial difference in the levels of digital competence between male and female university lecturers. Based on their findings, the researchers suggested that university administrators set up digital skills training for university faculty members as well as assistance and incentives to promote development of digital abilities. The government should be dedicated to education overall by investing adequate finances for teacher training, infrastructural development, and enhanced welfare programs to deliver excellent university education in this digital era.
Discussion on the Enterprise Financial Risk Management Framework Based on AI Fintech
Authors:   School of Intelligent Finance, Henan Institute of Economics and Trade, Zhengzhou, 450000, China, Liu Yu
Published: December 2023

Deep learning algorithms lack interpretability and interpretability in the decision-making process. This makes it difficult to understand the judgment basis and decision-making process of financial risks based on algorithms, which may reduce the trust and acceptance of risk decisions by enterprises. To address this issue, this study introduces the improved random forest algorithm based on the decision tree algorithm to discuss its framework. Through analysis of the PR curve in the experiment, it was determined that the AP value of the enhanced random forest algorithm is 0.9919, a significant improvement over the RF algorithm's previous value of 0.9237. It also has a good balance between the precision rate and the recall rate. By introducing the data set to compare and analyze the three algorithms of SVM, CRAT, and the improved random forest algorithm, it is found that the improved random forest algorithm has a higher test value. Through cluster analysis, it is found that the clustering accuracy of the improved random forest algorithm is about 81%. The final analysis of a company’s financial data sample showed an accuracy rate of 69.6% on the enterprise access index. The improved random forest algorithm achieves a good balance between accuracy and recall, resulting in the potential for high accuracy in the domain of risk assessment. In addition, compared with other algorithms such as SVM and CRAT, the improved random forest algorithm has higher test values, indicating its excellent performance in financial risk prediction. To sum up, this study firstly verified the feasibility and accuracy of the improved random forest algorithm for financial risk prediction. Additionally, it validated the method's predictive capability using factual enterprise data samples and ultimately established a foundation for the enterprise's financial risk management framework. Construction offers a new theoretical direction.
Equalization methods for Filter Bank Multicarrier OQAM
Authors: Kadhem Oras Faiz , Thamer M Jamel  , Hasan F Khazaal
Published: December 2023

Filter bank multi-carrier offset-quadrature amplitude modulation (FBMC OQAM) is a hot topic in 5G multi-carrier research. In order to achieve high data rates and reliable wireless communication, receiver channel equalization is required. This is because of the equalizer's excellent spectral efficiency, exceptionally low side-lobe leakage, zero periodic cyclic prefixes (CP), and multiphase filter design. However, a number of degradations, including fading, Doppler shifts, and intermittent symbol interference (ISI), are added to the transmitted data symbols as they traverse the wireless channel, reducing the network's overall quality. To mitigate the negative effects of channel defects, many channel equalization algorithms have been developed for use in modern telecommunications networks. Six different equalizer approaches have been implemented. Using the Pedestrian A and Vehicular B channel in our simulations, we examine how well they function. The system was simulated using MATLAB's Communications Toolbox (an M file). Bit-error-rate (BER) and signal-to-noise ratio (SNR) were used to evaluate the outcomes. The Bit error rate was calculated by checking for differences between the sent and received bit sequences. The best value of the bit error ratio using frequency domain equalization and the time domain equalization 5.4 and 4.7 , respectively.
Evaluating the Long-term Benefits of ESL Education on Language Proficiency
Authors: Noman Mustafa , Milson Smith , Orey Kurez
Published: December 2023

Evaluating the Long-term Benefits of ESL Education on Language Proficiency
Dynamic Pricing Strategies in Retail: A Case Study of ESL Technology Implementation
Authors: Noman Mustafa , Schield Herber , Jhonson Danny
Published: December 2023

Dynamic Pricing Strategies in Retail: A Case Study of ESL Technology Implementation
Best Practices for Supporting Transgender Youth in Schools
Authors: Mulkern Patrick , Wei August Xinyi , Price Maggi
Published: December 2023

Transgender youth are those whose genders do not align with their sex assigned at birth. Transgender youth are increasingly visible and frequently encounter discrimination and a lack of understanding from others, especially at school. As a result, they experience profound mental health challenges, with transgender youth being 6 times more likely to attempt suicide compared to cisgender youth. However, transgender youth who are adequately supported do not experience serious mental health difficulties. Accordingly, promoting school support for transgender youth is critical. While school staff know how to help youth generally, many want more guidance on how to help transgender youth. This article provides best practices for school staff to help transgender youth.
An equilibrium thermodynamics analysis of quantum thermal search
Authors: Review Blind
Published: December 2023

When admissible states and dynamics are restricted to pure states and reversible dynamics, the BBBV theorem largely prohibits exponential speedup of quantum search over classical search. However, the recent Chen-Huang-Preskill-Zhou (CHPZ) quantum (thermal) gradient descent proposal suggests system-heat bath interactions may offer more by leveraging irreversible dynamics. We simplify the complex CHPZ analysis by casting everything in terms of quantum equilibrium thermodynamics with some loss of generality. The key point is that different initial system temperatures arise depending on the answer of a decision problem despite sharing the same initial n-qubit system (thermal) state - infinite temperature (for the yes answer) versus the heat bath temperature (for the no answer). By tracing dynamics of either the n-qubit system or heat baths, the decision problem may be solved efficiently - quantum thermal search. Some issues with the efficiency conclusion are explored, in terms of either simulating thermal interactions with polynomially-scaling inverse bath temperature or accuracy of heat bath approximations.
Differences in the organization of the primary motor cortex in people with and without low back pain and associations with motor control and sensory tests.
Authors: Klerx Sabrine , Bruijn Sjoerd , Coppieters Michel Willem , Kiers Henri , Twisk JWR , Pool-Goudzwaard Annelies
Published: December 2023

Background: Differences in organization of the primary motor cortex and altered trunk motor control (sensing, processing and motor output) have been reported in people with low back pain (LBP). Little is known to what extent these differences are related. We investigated differences in 1) organization of the primary motor cortex and 2) motor and sensory tests between people with and without LBP, and 3) investigated associations between the organization of the primary motor cortex and motor and sensory tests. Methods: We conducted a case-control study in people with (N=25) and without (N=25) LBP. The organization of the primary motor cortex (Center of Gravity (CoG) and Area of the cortical representation of trunk muscles) was assessed using neuronavigated transcranial magnetic stimulation, based on individual MRIs. Sensory tests (quantitative sensory testing, graphaesthesia, two-point discrimination threshold) and a motor test (spiral-tracking test) were assessed. Results: Participants with LBP had a more lateral and lower location of the CoG and a higher temporal summation of pain. For all participants combined, better vibration test scores were associated with a more anterior, lateral, and lower CoG and a better two-point discrimination threshold was associated with a lower CoG. Discussion: Among the variables we analyzed, a small subset displayed significant results. Although these results support the concept that organization of the primary motor cortex is altered in people with LBP, there is no strong evidence that altered organization of the primary motor cortex is associated with motor and sensory test performance in this population.
Uniswap Daily Transaction Indices by Network
Authors: Chemaya Nir , Cong Lin William , Joergensen Emma , Liu Dingyue , Zhang Luyao
Published: December 2023

Decentralized Finance (DeFi) is revolutionizing traditional financial services by enabling direct, intermediary-free transactions, thereby generating a substantial volume of open-source transaction data. This evolving DeFi landscape is particularly influenced by the emergence of Layer 2 (L2) solutions, which are poised to enhance network efficiency and scalability significantly, surpassing the existing capabilities of Layer 1 (L1) infrastructures. However, the detailed impact of these L2 solutions has been somewhat obscured due to a dearth of transaction data indices that can provide in-depth economic insights for empirical research. This study seeks to address this critical gap by conducting a comprehensive analysis of raw transactions sourced from Uniswap, a central decentralized exchange (DEX) within the DeFi ecosystem. The dataset encompasses an extensive collection of over 50 million transactions from both L1 and L2 networks. Additionally, we have curated a wide-ranging repository of daily indices derived from transaction trading data across prominent blockchain networks, including Ethereum, Optimism, Arbitrum, and Polygon. These indices shed light on crucial network dynamics, such as adoption trends, evaluations of scalability, decentralization metrics, wealth distribution patterns, and other key aspects of the DeFi landscape. This rich dataset serves as an invaluable tool, enabling researchers to dissect the complex interplay between DeFi and Layer 2 solutions, thus enhancing our collective understanding of this rapidly evolving ecosystem. Its notable contribution to the data science pipeline includes the implementation of a flexible, open-source Python framework, enabling the dynamic calculation of decentralization indices, customizable to specific research requirements. This adaptability makes the dataset particularly suitable for advanced machine learning applications, including deep learning, thereby solidifying its role as a critical asset in shaping Blockchain as the foundational infrastructure for the intelligent Web3 ecosystem.
Navigating the Future of Retail: A Holistic Examination of Electronic Shelf Labels as Catalysts for Change in Pricing Strategies, Operational Efficiency, and Customer Engagement
Authors: Noman Mustafa , Jhonson Danny , Smith Jane
Published: December 2023

Navigating the Future of Retail: A Holistic Examination of Electronic Shelf Labels as Catalysts for Change in Pricing Strategies, Operational Efficiency, and Customer Engagement
Smartphones Undermine Social Connectedness More in Men Than Women: A Mini Mega-Analysis
Authors: Leitao Matthew , Proulx Jason Douglas Edward , Kushlev Kostadin
Published: December 2023

Though smartphones have been shown to undermine well-being and social connection, evidence also suggests that these effects depend on when and how people use their phones. To examine whether the effects of phones on well-being (affect valence) and social connection depend on the situation, we compiled data across eight published and unpublished experiments where phone use was manipulated (N = 1,778). These experiments included situations ranging from parents visiting a science museum with their children, eating a meal with a group of strangers, to looking for an unfamiliar building. We found that phones have a significant negative impact on people’s feelings of social connectedness across situations. The impact of phones on well-being, however, depended on the situation: Phones negatively impacted well-being when used during ongoing social interactions, but not when used to find information relevant to current goals. Our large dataset also allowed us to examine whether the effects of phones depend on individual differences. We found that gender moderated the effects of phones on social connectedness, whereby phones negatively impacted men more than women. Overall, even after including unpublished studies with nonsignificant findings, we find that the negative effects of phones on well-being and social connection persist. Going beyond past research, however, we also show that these negative effects on social connection are driven by men more so than women.
Predicting Depression & Anxiety from the Temporal Features of Rumination: an Affective Dynamic Approach
Authors: Hoebeke Yorgo , Heeren Alexandre
Published: December 2023

Rumination, characterized by repetitive negative thoughts about one's emotions and experiences, is a transdiagnostic process involved in various emotional disorders. While statistical tools from affective dynamics have been largely applied to elucidate the temporal dynamics of affect, it has seldom been used in rumination research. In this study, we aimed to examine the predictive value of moment-to-moment variability and inertia of rumination features, comparing them against person-level means, standard deviations, and trait rumination. Forty participants answered five rumination items four times daily over two weeks, with self-report questionnaires at the end. From these intensive time-series data, we computed inertia (using a multilevel vector autoregressive model) and moment-to-moment variability per participant and then analyzed the data using regression models to predict depression and anxiety symptomatology. Rumination metrics derived from the time-series data better predicted depression and anxiety than trait rumination alone. Yet, the best-performing models included both these temporal measures and trait rumination, accounting for 67.2% of depression variance and 51.1% of anxiety. Only the inertia of one specific feature of rumination, that is, the negativity of thoughts, had added predictive value for depression, after controlling for person-level means, standard deviations, and trait rumination. Importantly, the moment-to-moment variability of rumination features did not add any predictive value, corroborating previous research on affective dynamics. In addition to inertia of negativity, the person-level means of content features of rumination, trait rumination, and self-criticism variability positively predicted depression, whereas negativity variability negatively predicted depression. In contrast, only the person-level mean of the content features and trait rumination predicted anxiety. Overall, this study underscores the value of considering the dynamic nature of rumination and the combined insights trait rumination and temporal measures of rumination features can offer in understanding depression and anxiety symptomatology.
The Impact of Different Forms of Verbal Interaction on Neural Synchronization in Romantic Couples
Authors: Hu Shiang , Zhang Piqiang , Gong Xiao , Liu Chunyang , Lv Zhao , Hou Juan
Published: December 2023

Verbal interaction is one of the primary forms of human social interaction, and with technological advancements, the forms of verbal interaction have become increasingly diverse. Previous research has indicated that face-to-face communication involves distinct neural mechanisms compared to other forms of verbal interaction, and it can accurately predict communicative behavior based on neural synchronization levels. However, the differences in neural mechanisms between face-to-face communication and other forms of verbal interaction remain unclear. This study employed electroencephalography (EEG) hyperscanning to simultaneously measure the brains of two individuals in order to detect neural differences between different forms of verbal interaction. We investigated the inter-brain synchronization between males and females in different forms of verbal interaction, including face-to-face and back-to-back interactions, monologue and dialog interactions, as well as deep-level and shallow-level interactions, at both the scalp and cortical levels. Additionally, we calculated functional connectivity matrices using network measures between electrodes or brain regions on both the scalp and cortex, constructed brain networks, and computed network characteristics like global efficiency to explore differences between these forms of interaction. Our findings revealed that face-to-face dialog exhibited the highest inter-brain synchronization between males and females, and dialog demonstrated greater brain-to-brain coupling compared to monologue, while face-to-face interaction showed higher brain-to-brain coupling compared to back-to-back interaction. We propose that turn-taking behavior and social visual contact during dialog contribute to increased inter-brain synchronization during verbal interaction. Interestingly, we did not observe significant effects of interactive content on inter-brain synchronization. Our findings further elucidate the distinct neural mechanisms underlying face-to-face communication compared to other forms of verbal interaction, providing insights from both scalp-level and cortical-level using EEG hyperscanning.
Psychosis Superspectrum II: Neurobiology, Treatment, and Implications
Authors: Kotov Roman , Cicero David C , Correll Christoph U. , Martin Elizabeth A , Zald David , Jonas Katherine
Published: December 2023

Alternatives to traditional categorical diagnoses have been proposed to improve the validity and utility of psychiatric nosology. This paper continues the companion review of an alternative model, the psychosis superspectrum of the Hierarchical Taxonomy of Psychopathology (HiTOP). The superspectrum model aims to describe psychosis-related psychopathology according to data on distributions and associations among signs and symptoms. The superspectrum includes psychoticism and detachment spectra as well as narrow subdimensions within them. Auxiliary domains of cognitive deficit and functional impairment complete the psychopathology profile. The current paper reviews evidence on this model from neurobiology, treatment response, clinical utility, and measure development. Neurobiology research suggests that psychopathology included in the superspectrum shows similar patterns of neural alterations. Treatment response often mirrors the hierarchy of the superspectrum with some treatments being efficacious for psychoticism, others for detachment, and others for a specific subdimension. Compared to traditional diagnostic systems, the quantitative nosology shows an approximately 2-fold increase in reliability, explanatory power, and prognostic accuracy. Clinicians consistently report that the quantitative nosology has more utility than traditional diagnoses, but studies of patients with frank psychosis are currently lacking. Validated measures are available to implement the superspectrum model in practice. The dimensional conceptualization of psychosis-related psychopathology has implications for research, clinical practice, and public health programs. For example, it encourages use of the cohort study design (rather than case-control), transdiagnostic treatment strategies, and selective prevention based on subclinical symptoms. These approaches are already used in the field, and the superspectrum provides further impetus and guidance for their implementation. Existing knowledge on this model is substantial, but significant gaps remain. We identify outstanding questions and propose testable hypotheses to guide further research. Overall, we predict that the more informative, reliable, and valid characterization of psychopathology offered by the superspectrum model will facilitate progress in research and clinical care.
Context and semantic object properties interact to support recognition memory
Authors: Pandya Shirley , Nicholls Victoria Ida , Krugliak Alexandra , Davis Simon , Clarke Alex
Published: December 2023

We have a great capacity to remember a large number of items, yet memory is selective. While multiple factors dictate why we remember some things and not others, it is increasingly acknowledged that some objects are more memorable than others. Recent studies show semantically distinctive objects are better remembered, as are objects located in expected scene contexts. However, we know little about how object semantics and context interact to facilitate memory. Here we test the intriguing hypothesis that these factors have complementary benefits for memory. Participants rated the congruency of object-scene pairs, followed by a surprise memory test. We show that object memory is best predicted by semantic familiarity when a scene-object pairing was congruent, but when scene-object pairings were incongruent, semantic statistics have an especially prominent impact. This demonstrates both the item and its schematic relationship to the environment interact to shape what we will and will not remember.
Comparison of Tunnel Construction Cycle with NTNU Model for the Headrace Tunnel of Seti Khola Hydropower Project
Authors: Shrestha Rukshana , Panthi Krishna Kanta , Shrestha Ghan Bahadur
Published: December 2023

Achieving smooth and efficient blasting of tunnel walls is a challenging task. Tunneling performance and advancement can best be performed with proper and effective blasting techniques in drill and blast techniques. In this manuscript, the Seti Khola hydropower project's headrace tunnel's real-time statistics are used to compare the overall performance of tunnel excavation for the widely used blasting approach. The headrace tunnel's 663 meters of observed and recorded length comprises rocks with weak to medium blastibility. According to the Q-system, this tunnel section's rock mass quality class ranges from good to bad. The rock type found has a monotonous sequence of metasandstone and phyllite with quartz partings and discontinuities filled with clay to silt. A variation in the excavation cycle is observed in relation to the presence of different rock mass classes. Ultimately, the NTNU model is compared and analysis is done on the drilling patterns and cycles of tunnel building. It was discovered that using the NTNU model for tunnel excavation presents a significant opportunity to enhance performance.
Facial Attribute Editing Using Generative Adversarial Network
Authors: Upadhyay Mukunda , Lamichhane Badri Raj , Nyaupane Bal Krishna
Published: December 2023

Facial attribute editing tasks have immense applications in today’s digital world, including virtual makeup, generating faces in the animation and gaming industry, social media face image enhancement and improving face recognition systems. This task can be achieved manually or automatically. Manual facial attribute editing, performed with software such as Adobe Photoshop, is a tedious and time-consuming process that requires an expert person. However, Automatic facial attribute editing tasks that can perform facial attribute editing within a few seconds are achievable using encoder-decoder and deep learning-based generative models, such as conditional Generative Adversarial Networks. In our work, we use different attribute vectors as conditional information to generate desired target images, and encoder-decoder structures incorporate feature transfer units to choose and alter encoder-based features. Later, these encoder features are concatenated with the decoder feature to strengthen the attribute editing ability of the model. For this research, we apply reconstruction loss to preserve other details of a face image except target attributes. Adversarial loss is employed for visually realistic editing and attribute manipulation loss is employed to ensure that the generated image possesses the correct attributes. Furthermore, we adopt the WGAN-GP loss function type to improve training stability and reduce the mode collapse problem that often occurs in GAN. Experiments on the Celebi dataset show that this method produces visually realistic facial attribute edited images with PSNR/SSIM 31.7/0.95 and 89.23 % of average attribute editing accuracy for 13 facial attributes including Bangs, Mustache, Bald, Bushy Eyebrows, Blond Hair, Eyeglasses, Black Hair, Brown Hair, Mouth Slightly Open, Male, No Beard, pale Skin and Young.
A Comprehensive Review on Integrating Climate Science and Machine Learning for Power System Resilience
Authors: Jha Rahul
Published: December 2023

This study focuses on how climate science and machine learning techniques may be used to improve power system resilience in the face of climate change. It emphasizes the significance of resilience and the principles of machine learning application in power systems. Predictive models for climate-related disruptions are among the most recent advances in merging climate research with machine learning. The review assesses the efficacy of various models in improving system resilience and their limitations and problems. Future research prospects, policy consequences, and recommendations for moving climate science and machine learning integration forward for power system resilience are highlighted. Overall, the need to integrate these technologies to address climate change concerns and improve power system resilience is emphasized in this analysis.
Water Quality Monitoring of River Ganga Using Non-Linear Data Analytics
Authors: Patro B.D.K. , Sharma Shivam , Bajpai Abhishek
Published: December 2023

The Ganga River is one of India's biggest and most significant rivers, and the health and welfare of millions of people depend on the purity of its water. The traditional linear models that have been used extensively to assess water quality have limitations in their ability to capture the intricate non-linear interactions between the water quality factors. On the other hand, non-linear data analytics are able to identify these linkages and can offer more precise and trustworthy estimates of water quality. In order to monitor the River Ganga's water quality, this study suggests a non-linear data analytics approach that entails gathering and studying a significant amount of water quality data. The results show that the proposed approach outperforms traditional linear models and can provide valuable insights into the water quality of the River Ganga.
PERANAN PEMERINTAH DESA DALAM PENANGGULANGAN KEMISKINAN (Studi Kasus Desa Sejahtera Kecamatan Bulango Selatan Kabupaten Bone Bolango)
Authors: Machmud Joice , Patuti Abdul Gafur
Published: December 2023

Poverty reduction is still a priority for the government, especially the village government. Various poverty reduction programs are still being carried out by the government, therefore the role of the village government is always a concern. This study aims to determine the role of the village government by taking a case study of the Sejahtera Village, Bulango Selatan District, Bone Bolango Regency. This study used a qualitative approach by using informants as sources to answer the research objectives through interviews.The results of the study concluded that the role of the Government in poverty alleviation in the Prosperous Village has been implemented through various poverty reduction programs, namely the construction of latrines, construction of habitable houses and the provision of empowerment assistance in the agricultural sector. This role can be seen from four aspects or indicators, namely; aspects of the people who take part in social interactions, aspects of behavior that appear in interactions, aspects of people's position in behavior, and aspects of the relationship between people and contributing behaviors.
PENGGUNAAN ALOKASI DANA DESA DALAM MENUNJANG PEMBANGUNAN DI DESA KARYAMUKTI KECAMATAN MOOTILANGO KABUPATEN GORONTALO
Authors: Machmud Joice , Sako Umar , Lapananda Erlin Yusuf
Published: December 2023

This study aims to determine the extent of the use of village fund allocation (ADD) in supporting development in Karyamukti Village, Mootilango District, Gorontalo Regency. The research method used is a qualitative approach with a descriptive type of research. The results of the research obtained are: 1) The allocation of Village Funds (ADD) received by the Karyamukti Village Government, Mootilango District, Gorontalo Regency, is more directed at employee expenditures, Goods and Services expenditures and Capital Expenditures, 2) The use of ADD funds on employee expenditures to finance the fixed income of village heads and village officials, allowances for village heads and village officials as well as allowances for BPD and its members, 3) The use of ADD funds in the expenditure of goods and services is more directed at fulfilling administrative matters, monthly fixed costs as well as official travel and others, and 4) The use of ADD funds in development activities is completely unexplained because the funds received are only used up in 3 activities that are the focus of the budget.
New limits on lepton flavour violating processes in the Littlest Higgs model with T-parity
Authors: Pacheco Iván
Published: December 2023

By understanding neutrino masses via an inverse seesaw mechanism, the Littlest Higgs model with T parity is enlarged. Promising predictions for lepton flavor violating processes within this setting (see refs.~\cite{IvanPachecoZ,Ivan2}) are reviewed.
Fixation Technique with Pedicle Screws Assisted with Intraoperative TC and Neuronavigation: A Systematic Review
Authors: Arévalo-Sáenz Alejandra , Arévalo-Sáenz Alejandra , J. Rascón-Ramírez Fernando , Pedrosa Sánchez Manuel
Published: December 2023

Background: The invasion of the spinal canal or vertebral foramina by implants can cause lesions in neurovascular structures, which is why various methods have been tried to improve the accuracy of their placement during surgery.
Objective: The objective´s review is to demonstrate, in our experience, the benefits of neuronavigation with intraoperative CT in spine surgery.
Methods and Materials: We present a retrospective review of 307 posterior transpedicular fixations (1524 screws) made from January 2009 to December 2015. The following variables are collected: patient demographics, instrumented levels, type of operation, time of surgery as well as postoperative image control.
Results: The average age has been 64.8 years; with discreet feminine predominance (57.3%). The predominant indication has been segmental instability, lumbar canal stenosis and spondylolisthesis. Levels L4-L5 and L5-S1 have been the most frequent. The predominant number of levels set by surgery has been 1 space (65%) and 2 spaces (22.7%). The study includes 11 different neurosurgeons. The rate of repositioning prior to hospital discharge was 0.2% (3/1524), a year of 0.32% (5/1524), and postoperative images were obtained by CT or MRI, which confirmed the correct placement of the implants, 1% of patients.
Conclusion: Nowadays, the techniques of navigation and intraoperative images provide us with technical precision, reduction of surgical times and reduction of the radiation dose, among other advantages. In our experience, although anatomical knowledge is irreplaceable, these systems confer quality on spine surgery.
IMPLEMENTASI KEBIJAKAN PENGADAAN PEGAWAI PEMERINTAH DENGAN PERJANJIAN KERJA (PPPK) PADA GURU HONORER DI KOTA SUKABUMI TAHUN 2021
Authors: Zakiah Linda , Mulyadi Andi , Meigawati Dine
Published: December 2023

This study aims to find out how the implementation is implemented and find out what are the obstacles in the policy of procuring Government Employees with Work Agreements (PPPK) for honorary teachers in Sukabumi City. In order to approach this problem, the theoretical references of Donald S. Van Metter & Carl E. Van Horn are used, using 6 variables including a) Executor's size and objectives, b) Resources, c) Relationships between organizations, d) Characteristics of implementing organizations, e ) Social, political and economic conditions, f) Disposition of the executors. The data collected through observation, interviews, and documentation were analyzed qualitatively. The results of this study indicate that the implementation in Sukabumi City is running effectively and has no significant obstacles, the implementation of PPPK procurement policies in Sukabumi City has involved various parties who pay attention to the relevant parties, optimizing existing resources, maintaining inter-organizational relations, prioritizing the character of implementing organizations, conditions social, political, and economic, as well as maintaining the disposition of the executors.
Мікроальбумінурія як маркер ендотеліальної дисфункції у хворих з коригованою коарктацією аорти у віддаленому післяопераційному періоді
Authors: Volkova N. I. , Lazoryshynets V. V.
Published: December 2023

У віддаленому післяопераційному періоді нами обстежено 1170 пацієнтів, прооперованих з приводу коарктації аорти (КА) з 1988 по 2002 рр. Середній термін спостереження після корекції КА становив 13,8 року, максимальний – 24 роки. Діагностику мікроальбумінурії (МАУ) проводили за спеціальними тест-смужками Microalbu PHAN (PLIVA-Lachema Diagnostica). МАУ виявлено як в осіб з артеріальною гіпертензією (АГ) (62,6 %), так і в осіб з нормальним артеріальним тиском після корекції КА (34,9 %). Достовірне зменшення МАУ відмічено вже на 3-му місяці лікування лозартаном у хворих з АГ після корекції КА.
Эффективность лечения нарушений функций поджелудочной железы у детей (по результатам катамнеза)
Authors: Lembryk I. S.
Published: December 2023

У статті наведено результати лікування у стаціонарі 100 хворих на хронічний панкреатит та дисфункцію сфінктера підшлункової залози (сфінктера Одді), панкреатичний варіант. Серед них 50 дітей (основна група) отримували запропонований нами терапевтичний комплекс із застосуванням фітоферменту, спазмолітичного та антиоксидантного засобів. Діти контрольної групи (50 осіб) отримували лікування згідно із стандартною схемою. Скринінг функціонального стану підшлункової залози (ПЗ) у хворих основної групи показав зменшення відсотка помірної екзокринної недостатності ПЗ (10,09 %) при рецидивуючому перебігу панкреатиту. При монотонному перебігу захворювання в цій самій групі хворих відсоток помірної екзокринної недостатності під впливом терапії кверцетином і трибудатом зменшився до 15. Разом з тим у хворих контрольної групи виявлено помірну та виражену екзокринну недостатність ПЗ (55 та 20 % відповідно), що свідчить про недостатню ефективність стандартних базисних схем лікування.
Взаємозв’язок показників церебрального кровотоку і рефлекторних проявів при цервікогенній вертебробазилярній недостатності мозкового кровообігу
Authors: Kozar-Gurina O. M.
Published: December 2023

У 100 хворих з цервікогенною вертебробазилярною недостатністю (ВБН) мозкового кровообігу проводили клініко-неврологічне обстеження та транскраніальну допплерографію судин вертебробазилярного басейну. Виявлені закономірності, що вказують на току. Патологічний рефлекс Россолімо – Вендеровича у хворих свідчить про ранню стадію недостатності мозкового кровообігу у вертебробазилярному басейні та збереженість ауторегуляції церебрального кровообігу. Симптом Хвостека ІІІ у хворих з ВБН, навпаки, вказує на поглиблення ВБН та зрив процесів ауторегуляції церебрального кровообігу.
Пренатальные факторы риска развития врождённых пороков у новорождённых равнинных районов Черновицкой области
Authors: Pishak V. P. , Riznichuk M. O.
Published: December 2023

Вивчено поширення вроджених вад розвитку серед новонароджених рівнинних районів Чернівецької області, а також виділено певні чинники ризику їх розвитку.
Значення метаболізму амінокислот з розгалуженим бічним ланцюгом у розвитку серцево-судинних захворювань та факторів їх ризику
Authors: Lizogub V. G. , Zavalska T. V. , Savchenko O. V. , Tyravska Yu. V.
Published: December 2023

Амінокислоти з розгалуженим бічним ланцюгом відіграють ключову роль в процесах метаболізму в організмі у цілому в нормі та при патології, а також серцево-судинної системи, зокрема виявлено їх позитивну роль у мітохондріальному біогенезі міокарда, антиоксидантну дію, антиаритмічний та антигіпертензивний ефекти, значення у розвитку ожиріння і цукрового діабету.
Порушення балансу вегетативної нервової системи у хворих на ішемічну хворобу серця і з депресивними розладами
Authors: Dolinna O. V.
Published: December 2023

Встановлено, що у 26,9 % хворих на ішемічну хворобу серця спостерігаються депресивні розлади. Легкі депресивні прояви відмічено у 61,1 % осіб, маскована депресія – у 27,8 %, депресивні прояви середнього ступеня тяжкості – у 11,1 %. У цих хворих виявлена знижена варіабельність серцевого ритму, вищий тонус симпатичної частини вегетативної нервової системи (ВНС), порушення добового ритму ВНС та превалювання гуморальних впливів на ритм серця.
Особливості функціонування вегетативної нервової системи у хворих на цироз печінки
Authors: Abrahamovych O. O. , Abrahamovych M. O. , Tolopko S. Ya. , Ferko M. R.
Published: December 2023

Проведено дослідження стану вегетативної нервової системи у 93 хворих на цироз печінки та вивчено кореляційні зв’язки між показниками варіабельності серцевого ритму і класами цирозу печінки за Child – Pugh. Це дозволило розробити критерії ступеня тяжкості вегетативних порушень, які можна діагностувати за авторською комп’ютерною програмою «Гепатовега».
Сон як фізіологічна складова показника якості життя у дітей
Authors: Kovtyuk N. I.
Published: December 2023

В статті дана оцінка фізіологічної складової показника якості життя дітей за генеричною анкетою CHQ-SF та за розробленою нами. Обстежено 120 здорових дітей шкільного віку. Використано дескриптивний дизайн дослідження з одномоментним зрізом для формування вибірки. Визначено, що якість життя дітей за загальними характеристиками знижена. Вивчено особливості якості сну та його порушень у дітей. Проаналізовано асоціативні зв’язки між фізіологічними показниками та деякими напрямами оцінки якості життя.
Вплив кабінетів консультування на ефективність лікування хворих на вперше діагностований туберкульоз легень
Authors: Mykhailova A. O.
Published: December 2023

Від початку функціонування кабінетів консультування відмічено зниження питомої ваги хворих на вперше діагностований туберкульоз легень (ВДТЛ), виписаних із стаціонару з результатом перерваного лікування, у 2 рази; зниження показника виписки хворих на ВДТЛ з бактеріовиділенням в інтенсивну фазу лікування до 2 міс у 8,7 раза; збільшення питомої ваги хворих на ВДТЛ, які отримували амбулаторне лікування, від кількости хворих, які перервали лікування на стаціонарному етапі, у 2,1 раза; зниження питомої ваги хворих на ВДТЛ, які перервали лікування по Запорізькій області, у 1,6 раза та зниження питомої ваги хворих на ВДТЛ по Запорізькій області, які перервали лікування та отримували соціально-психологічну допомогу, в 5,4 раза.
Facebook vs. Face-to-Face Discourse in English: A Gender-Based Study of Conversational Styles
Authors: Fatima Samita , Nawaz Nimra , Hussain Muhammad Sabboor
Published: December 2023

The study highlights the major differences between Face-to-face and Facebook conversations while considering the gender-based patterns in the respective conversational styles.The authors have used an open-ended questionnaire to conduct qualitative research to make it possible. The sample consisted of 12 people aged 18-25 from different universities in Pakistan who used Facebook daily. The study finds out that face-to-face conversations are the preferred mode of conversation mainly by women as being on Facebook gives them a degree of lenience which face-to-face conversations lack. The comfortable environment on Facebook makes it more comfortable for them to be more expressive. Facebook has broken the cross-gender barriers and has made people aware that having cross-gender conversations while staying within a limit is possible, and society is slowly accepting it. The study has far-reaching implications for social media researchers as they can have further research probes into socio-cognitive dimensions of the issue from a behavioural science perspective.
Framing Biases Of Sino-Pak Media: A Comparative Content Analysis Of Official Social Media Accounts
Authors: Idrees Hafiz Muhammad Tahir , Nawaz Tariq , Madni Abdul Rehman
Published: December 2023

The present study was designed to know, how and in what ways CPEC is being portrayed by Sino-Pak media. For this, content analysis of the 293 CPEC-related posts was performed. The data was collected from Pakistani and Chinese newspapers' official Facebook pages (The News and People's Daily China). The data accumulated by keyword search was categorized and sub-categorized in line with the selected aspects and a coding sheet. Findings revealed, that although the Pakistani media was giving more coverage to CPEC the Chinese media was matchless with 100 % positive coverage in contrast to Pakistan's 47% (this percentage put a question mark on the status of "Press Freedom" in China). Overall, CPEC was portrayed positively in both newspapers with (52%) of positive coverage and (25%) negative. The most covered CPEC aspect was "Strategic" (38%) and media coverage of this aspect highlights the strategic significance of CPEC in regional politics.
Construction of Climate Action News, Exploring Role of Media Professionals in Pakistan
Authors: Ikram Umer , Ashraf Atif , Sadiqa Ayesha
Published: December 2023

This qualitative study explores the landscape of journalistic practices concerning the construction of climate action news in Pakistan. The study offers a comprehensive understanding of the variables affecting media coverage, the difficulties faced by journalists, their perspectives on the climate problem, and prospective improvements. The study's conclusions point to a confluence of circumstances that prevent Pakistani media outlets from covering climate change programmes. These include complex political dynamics and structural limitations in the media environment. The results make it clear that Pakistani journalists would substantially benefit from programmes to develop their capacity so they can better understand and report climate action. The study also yields an important proposal that calls for the Pakistani government to develop a comprehensive policy for climate action. In conclusion, this study makes a substantial contribution to our understanding of Pakistan's complex system of climate reporting practices. It paves the way for more proactive and educated climate action communication and reporting by highlighting the difficulties and opportunities facing the journalism industry.
The Geopolitical Implications of the China-Pakistan Economic Corridor
Authors: Alam Ayesha , Waheed Abdul , Islam Mehvish Noor ul
Published: December 2023

The China-Pakistan Economic Corridor (CPEC) is a major infrastructure and economic development project that has attracted significant interest due to its geopolitical implications. This article examines the many facets of CPEC and its impact on the region. The introduction summarizes CPEC and provides the article statement, emphasizing the research focus on geopolitical implications. The historical context section examines the origins of CPEC and details the motivations and goals that led to its creation. The economic impact of the CPEC is examined, highlighting the corridor's benefits, challenges and infrastructure development projects. In addition, the article examines the geopolitical implications of the CPEC and assesses its impact on the balance of power in South Asia and the wider Indo-Pacific region. Perspectives and responses from neighbouring countries and international organizations are also taken into account. The article concludes by summarizing the important findings and emphasizing the policy implications for Pakistan, China and other stakeholders. Future prospects and situations are examined and recommendations for further research are given.
Power Competition in the Middle East: Emerging Alliance of Turkey And Qatar, and Response of Saudi Arabia
Authors: Afzal Naila , Yaseen Zahid
Published: December 2023

This study describes the domestic influences, ideational factors, and power dynamics in the wider Middle Eastern and Gulf region. The study has examined the burgeoning rapprochement of Qatar and Turkey particularly post-Arab Spring and its implications for Saudi Arabia. After the Arab Spring, the Middle East presented a tripolar structure where the Turkey-Qatar alliance and their sympathy with the Muslim world formed a third bloc which is called the moderate resistance bloc. This study is based on qualitative research methodology. The ramifications of the study explored that to avoid the dominance of politics and status quo blocs, the moderate resistance bloc strived to play a balanced role by adopting the pragmatic approach in its regional and global engagements. The study recommends that all three countries should promote sustained diplomatic dialogue.