bluuebunny/crossref_metadata_2025 huggingface dataset:
The effect of banks’ cost efficiency and competition on liquidity creation
Authors: Viverita Viverita , Nastiti Danarsari Dwi , Bustaman Yosman , Septianto Fadli
Published: January 2024

This study examines the role of a bank’s cost efficiency and competition when creating liquidity. It also investigates the different abilities to create liquidity between conventional banks and Islamic banks. This study employs data from annual reports for 117 banks, including 103 conventional banks and 14 Islamic banks from the Association of Southeast Asian Nations 4 (ASEAN-4). Using the dynamic panel regression with the GMM system, this study finds that cost-efficient banks have a higher ability to create liquidity, while high banking competition deteriorates that ability. However, these effects decrease as banks manage their costs more efficiently. The findings imply that banks’ ability to create liquidity is impacted by their market power to win the competition. Additionally, this study found that Islamic banks create more liquidity than conventional banks. This phenomenon indicates that by being more focused on activities using on-balance sheet items, Islamic banks are spared from risky off-balance sheet commitments. Furthermore, efficient banks are more able to generate liquidity in competitive markets.
How do commitment-based HRM practices and a developmental culture interact to foster open innovation in SMEs?
Authors: Cera Elona , Subashi Roland
Published: January 2024

This paper aims to bring new insights into the role of commitment-based human resource management practices in open innovation in small and medium-sized enterprises. Additionally, the goal is to enhance comprehension of the aforementioned interactions by considering the mediating effect of developmental culture. Data were collected from owners and managers of 131 small and medium-sized enterprises operating in the service and manufacturing sectors in Albania. The study employed a quantitative research instrument, namely online surveys. To yield results and extract figures, the study applied partial least squares-structural equation modeling, examining the interrelationships among constructs. The empirical results highlight the direct effects of commitment-based human resource management practices and developmental culture on open innovation. Specifically, the study reveals that commitment-based human resource management practices have a significant role in promoting open innovation (O = 0.598, t = 10.057, p = 0.000). Additionally, the findings indicate that developmental culture serves as a complementary factor by mediating the connection between commitment-based human resource management practices and open innovation (O = 0.136, t = 1.789, p = 0.037). This study draws the attention of business owners and strategy developers circumnavigating the Albanian small and medium-sized enterprises environment. Barring certain limitations, it enthralls their propensity toward innovation, aligning it with an enabling business culture.
AcknowledgmentThis work is supported by Tomas Bata University internal grants, FaME TBU No. IGA/FaME/2023/012 “Closed and open innovation: role of human resource, servant leadership, digitalization, and uncertainty.”
On the Way to the Chinese Eastern Railway: Financial Aspects of the History of Kaidalovo Line Construction
Authors:   St. Petersburg State University, Dmitrieva N. V. ,   European University at St. Petersburg
Published: January 2024

The article analyzes the financial component of Kaidalovskaya line construction of Trans-Baikal Railway that established access to the Chinese Eastern Railway from the West. Designed to connect the CER with Russian railway network, this line played a vital role during late 19th — early 20th century establishing a connection between Trans-Siberian Railway and Vladivostok. However, researchers have barely paid attention to it, which makes the study relevant. It is promising to study the history of the construction of Kaidalovkaya line using the modern approaches to the analysis of global connectivity. The construction of the line took place simultaneously with the construction of the other section of Trans-Siberian Railway, which required significant financial investment from the Russian Empire. The construction started on September 16, 1898, and was completed by October 11, 1901. The construction, which fell under the jurisdiction of the Committee of the Siberian Railway, was subject to regular audit supervision of the State Control. The preserved archival documents make it possible to identify key financial actors and determine priority areas for economic support. The construction of this rather short line in comparison with the CER and the Trans-Siberian Railway (321,3 versts, or 342,8 km) turned out to be a costly affair for the treasury. Having become, to a certain extent, a transboundary area, the territory adjacent to the line inhabited by representatives of various ethnic groups required additional investments to ensure its maintenance. The study of the financial aspect of the Kaidalovskaya line construction allows us to see how financial imperatives influenced the goals and mechanisms of the imperial policy on the development of the Far East and on building a system of interethnic and international relations in the region.
Children in “Anti-Religious Offensive” at the Turn of the 1920s–1930s
Authors:   Tambov State Technical University, Slezin A. A.
Published: January 2024

The article studies the activities of “godless” youngsters in the initial period of USSR continuous collectivization through the prism of intergenerational relations in the Russian village. Both archival documents and materials of periodicals, methodological publications of the 1920s–1930s were used as the main sources. Priority attention was paid to the analysis of the relationship in the spiritual sphere of the peasant representatives of the “children of the revolution” generation (those whose childhood fell on the first post-revolutionary fifteen years) and the “revolutionary turning point” generation (born at the turn of the 19th–20th centuries). Pioneers and other young activists were involved in the “all-Union anti-religious offensive” officially announced at the end of 1929, during which adherents of some religion were declared class enemies. The authorities relied on the younger generation in the atheism in the village believing that children have fewer prejudices and it is easier to involve them in a confrontation with believing “fathers”. Much attention in the article was paid to highlighting the role of children in changing the rural festive culture, the peculiarities of the spread of atheistic views among children through the media, school, and leisure practices. The position, according to which home education was declared extremely harmful, was officially approved. The school was perceived not only as a tool for raising children, but also as a lever for re-education of parents through their children. In the activities of pioneers, there were clear elements if not of teaching, then of a challenge to the elders. The authorities were forced to maneuver under the influence of mass protests: the “attack on religion” changed, but continued. Under its influence, the confrontation between young atheists and peasant adherents of traditional religions escalated and had devastating consequences for the peasant continuity of generations.
Participant approach model in a basin: A case study from Turkey
Authors: Yazıcı Nilüfer , Gülçelik Mustafa
Published: January 2024

The Beyşehir Lake Basin, which is the study area, is the second largest sub-basin within the Konya province, located southwest of the Konya Closed Basin in terms of surface by 7,308 km2. Some basin characteristics such as slope, elevation classes, land use, aspect groups, land capability class, erosion status were examined by a Geographic Information System. The aims of the study were to determine the problems and the requests and suggestions of the people living in the basin, and to reveal the needs and deficiencies. For these purposes, the current and potential situation of the basin was evaluated using a holistic evaluation approach, which represents the most important of the watershed management principles, and the solutions were concluded in the light of the findings of the study. Migration, inadequacy of agricultural activities, lack of pasture areas for livestock activities, lack and neglect of irrigation water and irrigation infrastructure, lack of basic infrastructure such as village roads, and soil losses due to lack of erosion structures were the most obvious problems of the basin based on the results of the Ask–Find–Resolve analyses.
Three-dimensional simulation of the influence of different flotation media in the dissolved air flotation tank through the population balance model
Authors: Li Jingming , Zhang Zhenyu , Wang Yadi , Huang Zhaodong , Xu Jiahui
Published: January 2024

Gas–liquid flow in the dissolved air flotation (DAF) tank was studied through computational fluid dynamics through the realizable k-ε model and the population balance model (PBM) to predict the gas content of different flotation mediums (air, carbon dioxide, and chlorine) at different heights of the separation zone in the DAF tank. Simultaneously, a particular focus was placed on studying the effects of bubble aggregation and breakage on gas content. The results indicated that there were virtually no bubbles present in the region below 0.1 m of the separation zone. The gas content in the separation zone could meet the needs for gas content in the DAF tank when all these three gases were adopted as flotation medium. The introduction of models for bubble aggregation and breakage resulted in lower gas content at the bottom of the separation zone and higher gas content at the top, aligning more closely with experimental data. Due to the structural similarity and similar physicochemical characteristics of carbon dioxide and water molecules, the impact of bubble aggregation and breakage on the gas content is minimal.
Targeted Delivery of Peptide Nucleic Acid by Biomimetic Nanoparticles based on Extracellular Vesicle-coated Mesoporous Silica Nanoparticles
Authors: Chen Wei , Lai Qingteng , Zhang Yanke , Mo Long , Liu Zhengchun
Published: January 2024

Background:

Peptide nucleic acid (PNA) plays an important role in antimicrobial
activity, but its cellular permeability is poor. To overcome this limitation, we
constructed biomimetic nanoparticles by using extracellular vesicle (EV)-coated mesoporous
silicon nanoparticles (MSNs) to deliver PNA to Staphylococcus aureus (S. aureus)
and improve its antisense therapeutic effect.

Methods:

MSN was prepared by the sol-gel method, and EV was extracted by affinity
resin chromatography. EV was coated on MSN by simple sonication (50 W, 3 mins) to
prepare biomimetic nanoparticles with PNA-loaded MSN as the core and EV isolated
from S. aureus as the shell.

Results:

The MSN prepared by the sol-gel method had a uniform particle size (100 nm)
and well-defined pore size for loading PNA with good encapsulation efficiency
(62.92%) and drug loading (7.74%). The concentration of EV extracted by affinity resin
chromatography was about 1.74 mg/mL. EV could be well coated on MSN through simple
ultrasonic treatment (50 W, 3 mins), and the stability and blood compatibility of MSN@
EV were good. Internalization experiments showed that EV could selectively enhance
the uptake of biomimetic nanoparticles by S. aureus. Preliminary in vitro antibacterial
tests revealed that PNA@MSN@EV exhibited enhanced antibacterial activity
against S. aureus and had stronger bactericidal activity than free PNA and PNA@MSN
at equivalent PNA concentrations (8 μM).

Conclusion:

Biomimetic nanoparticles based on EV-coated MSN offer a new strategy
to improve the efficacy of PNA for the treatment of bacterial infections, and the technology
holds promise for extension to the delivery of antibiotics that are traditionally minimally
effective or prone to resistance.
An Update of Extracellular Vesicle Involvement in Different Steps of
Cancer Metastasis and Targeting Strategies
Authors: Mortezaee Keywan , Majidpoor Jamal
Published: January 2024

Cancer metastasis is the deadliest event in tumorigenesis. Despite extensive
research, there are still unsolved challenges regarding early metastasis detection and targeting strategies. Extracellular vesicles (EVs) and their impact on tumorigenic-related
events are in the eye of current investigations. EVs represent a plethora of biomarkers
and information, and they are considered key determinants in tumor progression and for
tumor prognosis and monitoring. EVs are one of the key mediators for inter-cellular
communications between tumor cells and their nearby stroma. They are involved in different steps of metastasis from invasion toward formation of pre-metastatic niches
(PMNs), and final growth and colonization of tumor cells in desired organ/s of the target. Membrane components of EVs and their cargo can be traced for the identification of
tumor metastasis, and their targeting is a promising strategy in cancer therapy. In this review, we aimed to discuss the current understanding of EV-based metastatic predilection in cancer, providing updated information about EV involvement in different metastatic steps and suggesting some strategies to hamper this devastating condition.
Outage Performance of Underlay CR-NOMA-based D2D Communications
under Imperfect CSI and SIC
Authors: Ad Meriem , Khelil Abdellatif
Published: January 2024

Background:

Non-orthogonal multiple access (NOMA) is a promising technique for improving
wireless communication performance in the future. In addition to NOMA, cognitive radio
(CR) is another technology that can address the issue of limited spectrum availability and meet the
increasing demands for wireless connectivity.

Methods:

This paper focuses on investigating underlay CR-NOMA-based D2D communications.
The study assumes a decode-and-forward (DF) mode used in the system, where nearby users (D1,
D2) act as helper users to assist distant users (D3, D4). The paper derives the closed-form expressions
for outage probability (OP) and throughput at the far users in three scenarios: (1) Perfect successive
interference cancellation (SIC) and perfect channel state information (CSI), (2) Imperfect CSI, and
(3) Imperfect SIC.

Results:

In CR-NOMA mode, the results indicate that the performance of user D4 was better than
user D3. Additionally, the OP performance of distant users employing CR-NOMA mode surpasses
that of users using CR-OMA mode. The optimal power allocation (PA) values are investigated.

Conclusion:

The presence of imperfect CSI and SIC has an unfavorable influence on the outage performance.
Monte Carlo simulations are used to validate the derived analytical expressions.
Design of a Power Efficient Model of PWM Generator for Green
Communication using High Performance FPGAs
Authors: Kumar Keshav , Kaur Amanpreet , Pandey Bishwajeet
Published: January 2024

Aim:

This paper will focus on promoting the ideas of green communication

Background:

Pulse Width Modulation (PWM) generator is used to control the power transfer in any
communication model. It is one of the most crucial parts of an electrical circuit. Our main focus in
this research work is to develop an energy and power-efficient PWM generator by using Field Programmable
Gate Array (FPGA) logic to elevate green communication

Objective:

Our main focus in this research work is to develop an energy and power-efficient PWM
generator by using Field Programmable Gate Array (FPGA) logic to elevate green communication.

Methods:

In order to make the PWM suitable for GC, we have implemented the design on VIVADO
ISE from Xilinx. The power analysis as well as resource utilization are targeted on three different
FPGAs.

Results:

Different IO standards of Stub Series Terminated Logic (SSTL) family are explored at different
FPGA’s. Power analysis is deployed on the 7 series FPGAs of 3 different categories i.e., Spartan
7 (channel length = 28 nm), Kintex 7 (channel length = 20 nm) and ultra scale Zynq 7 (channel
length = 16 nm).

Conclusion:

It can be concluded from power analysis that SPARTAN-7 device is the most powerefficient
and ZYNQ Ultra scale+utilizes the highest amount of power. However, KINTEX-7 Ultrascale
device lies in the middle of both these devices as far as power consumption is concerned.
There is a reduction of 43.07% TP consumption for SPARTAN-7 device with SSTL135 IO when
equated with ZYNQ Ultra scale+ with SSTL18_I IO. Also, it can be observed from sections 5.1, 5.2
and 5.3 that there is more contribution of DP in TP consumption than SP. Hence the device utilizes
additional power when it is in active state than static state. Since PWM generator is an integral part of
data and wireless communication, it should require less power for proficient transmission and wellorganized
green computing and communication.
Predictive Value of Machine Learning for Platinum Chemotherapy Responses in Ovarian Cancer: Systematic Review and Meta-Analysis
Authors: Wang Qingyi , Chang Zhuo , Liu Xiaofang , Wang Yunrui , Feng Chuwen , Ping Yunlu , Feng Xiaoling
Published: January 2024

Background

Machine learning is a potentially effective method for predicting the response to platinum-based treatment for ovarian cancer. However, the predictive performance of various machine learning methods and variables is still a matter of controversy and debate.

Objective

This study aims to systematically review relevant literature on the predictive value of machine learning for platinum-based chemotherapy responses in patients with ovarian cancer.

Methods

Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we systematically searched the PubMed, Embase, Web of Science, and Cochrane databases for relevant studies on predictive models for platinum-based therapies for the treatment of ovarian cancer published before April 26, 2023. The Prediction Model Risk of Bias Assessment tool was used to evaluate the risk of bias in the included articles. Concordance index (C-index), sensitivity, and specificity were used to evaluate the performance of the prediction models to investigate the predictive value of machine learning for platinum chemotherapy responses in patients with ovarian cancer.

Results

A total of 1749 articles were examined, and 19 of them involving 39 models were eligible for this study. The most commonly used modeling methods were logistic regression (16/39, 41%), Extreme Gradient Boosting (4/39, 10%), and support vector machine (4/39, 10%). The training cohort reported C-index in 39 predictive models, with a pooled value of 0.806; the validation cohort reported C-index in 12 predictive models, with a pooled value of 0.831. Support vector machine performed well in both the training and validation cohorts, with a C-index of 0.942 and 0.879, respectively. The pooled sensitivity was 0.890, and the pooled specificity was 0.790 in the training cohort.

Conclusions

Machine learning can effectively predict how patients with ovarian cancer respond to platinum-based chemotherapy and may provide a reference for the development or updating of subsequent scoring systems.
Design and Implementation of a Brief Digital Mindfulness and Compassion Training App for Health Care Professionals: Cluster Randomized Controlled Trial
Authors: Jaiswal Satish , Purpura Suzanna R , Manchanda James K , Nan Jason , Azeez Nihal , Ramanathan Dhakshin , Mishra Jyoti
Published: January 2024

Background

Several studies show that intense work schedules make health care professionals particularly vulnerable to emotional exhaustion and burnout.

Objective

In this scenario, promoting self-compassion and mindfulness may be beneficial for well-being. Notably, scalable, digital app–based methods may have the potential to enhance self-compassion and mindfulness in health care professionals.

Methods

In this study, we designed and implemented a scalable, digital app–based, brief mindfulness and compassion training program called “WellMind” for health care professionals. A total of 22 adult participants completed up to 60 sessions of WellMind training, 5-10 minutes in duration each, over 3 months. Participants completed behavioral assessments measuring self-compassion and mindfulness at baseline (preintervention), 3 months (postintervention), and 6 months (follow-up). In order to control for practice effects on the repeat assessments and calculate effect sizes, we also studied a no-contact control group of 21 health care professionals who only completed the repeated assessments but were not provided any training. Additionally, we evaluated pre- and postintervention neural activity in core brain networks using electroencephalography source imaging as an objective neurophysiological training outcome.

Results

Findings showed a post- versus preintervention increase in self-compassion (Cohen d=0.57; P=.007) and state-mindfulness (d=0.52; P=.02) only in the WellMind training group, with improvements in self-compassion sustained at follow-up (d=0.8; P=.01). Additionally, WellMind training durations correlated with the magnitude of improvement in self-compassion across human participants (ρ=0.52; P=.01). Training-related neurophysiological results revealed plasticity specific to the default mode network (DMN) that is implicated in mind-wandering and rumination, with DMN network suppression selectively observed at the postintervention time point in the WellMind group (d=–0.87; P=.03). We also found that improvement in self-compassion was directly related to the extent of DMN suppression (ρ=–0.368; P=.04).

Conclusions

Overall, promising behavioral and neurophysiological findings from this first study demonstrate the benefits of brief digital mindfulness and compassion training for health care professionals and compel the scale-up of the digital intervention.

Trial Registration

Trial Registration: International Standard Randomized Controlled Trial Number Registry ISRCTN94766568, https://www.isrctn.com/ISRCTN94766568
More analysis on environment protection and sustainable agriculture - A case In son La and Thai Nguyen of Vietnam
Authors: Dung Pham Anh , Nuong Le Ngoc , Huy Dinh Tran Ngoc , Thang Tran Duc , Nhan Pham Hung , Hien Dinh Tran Ngoc
Published: January 2024

This study presents a case of tea and coffee crops , esp. environment protection and sustainable agriculture in Son La and Thai Nguyen of Vietnam. Research results show us that The process of having an agricultural product goes through many steps such as planting, planning, harvesting, packing, transporting, storing and distributing. - The State adopts policies to encourage innovation of agricultural production models and methods towards sustainability, adapting to climate change, saving water, and limiting the use of inorganic fertilizers and pesticides. chemicals and products for environmental treatment in agriculture; develop environmentally friendly agricultural models. Our research limitation is that we can expand for other crops, industries and markets as well.
Ecosistemas de emprendimiento en México y el crecimiento económico de sus municipios
Authors: Mellado Ibarra César Iván , Sánchez Tovar Yesenia
Published: January 2024

Objetivo: identificar qué elementos del entorno tienen un efecto en el emprendimiento y analizar las consecuencias de los ecosistemas de emprendimiento de México en el crecimiento económico de sus municipios. Metodología: enfoque cuantitativo mediante un modelo de ecuaciones estructurales, con datos de la Encuesta Intercensal 2015, de los Censos Económicos de 2015 y 2019 y del Directorio estadístico nacional de unidades económicas de 2008 para representar los ecosistemas de emprendimiento de México. Resultados: los capitales financiero y humano son los que más ayudan al desarrollo de los emprendimientos. La informalidad se relaciona de forma positiva con la presencia de emprendimientos, pero los municipios con más de ellos tuvieron un crecimiento económico más bajo. Valor: se estudiaron los ecosistemas de emprendimiento de 81.46% de los municipios de México. El modelo tuvo buen ajuste y permitió contrastar las hipótesis planteadas con mucha confiabilidad. Limitaciones: no se realizó ningún estudio longitudinal para entender la evolución de los ecosistemas de emprendimiento. Tampoco se incluyó el capital institucional debido a la falta de información. Conclusiones: los municipios mexicanos más emprendedores tienen un crecimiento económico más lento. La explicación se encontró en los altos niveles de informalidad en las empresas.
Standardisation of an In-house Multiplex PCR Assay for Identifying Diffusely Adherent E. coli and ESBL Producing Resistant Isolates
Authors: Madalgi Radhika Kishor , Kulkarni Sughosh , Ajantha Ganavalli Subramanya , Ramlal Shylaja , Aradhya Shruthi , Kulkarni R.D.
Published: January 2024

We aimed to develop a multiplex PCR (mPCR) assay utilizing the afaC gene for the detection of DAEC pathotypes and the blaTEM gene for the identification of ESBL production in clinical E. coli isolates along with an Internal Amplification Control (IAC) to rule out false negative test results. Monoplex PCR assays were first established for the afaC gene and blaTEM gene using 60 characterized E. coli isolates from various clinical samples. Subsequently, an mPCR assay was designed to detect both the genes simultaneously along with an IAC to rule out false negative reactions. The effectiveness of this assay was validated using 80 additional clinical isolates. The overall occurrence of DAEC in the study was found to be 0.7% (1/140). ESBL production was detected in 40.7% of the tested isolates, indicating a concerning prevalence of drug-resistant strains. This study emphasizes the value of an in-house mPCR assay as a crucial tool for simultaneously identifying DAEC and ESBL E. coli strains. The inclusion of an IAC in the PCR protocol bolstered the assay’s reliability. This innovation offers a vital resource for effective infection management and contributes to the comprehension of pathogenicity and resistance mechanisms in clinical E. coli isolates.
Educación y asimilación del indígena en las novelas Mariluán y Aves sin nido
Authors: Hurtado Ruiz Pablo
Published: January 2024

El presente artículo analiza la educación del indígena en las novelas Mariluán (1862) de Alberto Blest Gana y Aves sin nido (1889) de Clorinda Matto de Turner. Ambas obras plantean el problema del indígena para el proyecto nacional y de las dificultades que la educación conlleva. Mediante la revisión de las estrategias educativas en el enunciado de las obras se establece la relación entre la novela y el proceso civilizatorio que persiguen los autores. Ambas obras evidencian el fracaso de los intentos por civilizar el mundo indígena, determinado por distintos actores que funcionan como obstáculos para el desarrollo de las sociedades.
A Study on the Impact of Job Characteristic Factors of Licensed Real Estate Agents on Business Performance and Job Security: Focusing on Daejeon Metropolitan City
Authors:   Residential Environment Institute Of Korea, Jeong Ho Soon , Chung Jaeho
Published: January 2024

Licensed real estate agents in Korea are in a state of excessive competition, and it is difficult to maintain them in the long term. This is the result of frequent business closures and turnover due to poor management performance and job satisfaction. Therefore, there is a need for research to improve the job security of real estate agents. Therefore, this study derives the job characteristic factors that affect the management performance of real estate agents in Daejeon and studies the effect of job characteristics on management performance and job stability. In addition, job satisfaction is used as a parameter to verify direct and indirect effects. As a result of verification with structural equation model, it was verified that internal factors such as work ability factors, work spirit factors, work environmental factors, and external factors such as reliability factors and policy factors have a positive (+) effect on management performance. Among the external factors, social factors were found to have no significant influencing relationship. The degree of influence was found in the ranking of work capability factors, work environment factors, reliability factors, and policy factors. Therefore, real estate agents will be able to achieve better management performance through the development of internal factors and understanding of external factors by referring to the above ranking of influence relationships for business performance. In addition, since management performance does not fully guarantee job security, not only real estate agents but also the government and the Korea Association of Realtors should consider measures to improve the job satisfaction of real estate agents.
Civilizational identity of contemporary Russia: In search for research tools
Authors: Belyaeva L. A.
Published: January 2024

The failed catch-up development of Russia, which implied joining the ranks of developed, modernized countries, again raised the question of how much civilizational type determines either Western or one’s own path of development, and for Russia the latter means the values of collectivism and strong power. Under the confrontation between these two paths, the issues of identity (as a field of political aspirations of the elites and masses) become especially important and relevant for most post-Soviet countries which show a complex interaction of group interests and identities due to the spread of individualistic, market, predominantly rational (mostly materially interpreted) meanings of life. For Russia, this interaction has become a challenge - to continue development according to the Western model or to find one’s own path, which means a return to traditional values and collectivist ideology and a rejection of liberal ideology. The article considers the features of the Russian civilizational identity and the possibilities of studying them based on the empirical data. The author emphasizes the civilizational heterogeneity of the Russian society as deeply differentiated by most economic, social and cultural criteria, which divides society into groups with specific lifestyles and value systems. Russian civilization is a heterogeneous, not fully formed and still developing multi-subject entity united by the state preserving cultural, national, religious and linguistic diversity. The article is based on the results of the representative all-Russian sociological survey conducted in 2023 and regional surveys in frontier regions - in the Northwestern, Southern and North Caucasus Federal Districts. This data helps to identify the civilizational vector of the country’s development, proving the complementarity of the ideas of the elites and the rest of society, age and settlement cohorts, residents of central and frontier, mononational and multiethnic regions.
Konstruksi Pemikiran Hukum Islam Imam Ahmad Ibn Hanbal: Pendekatan Sejarah Sosial Hukum Islam
Authors: Zainuddin Muslim
Published: January 2024

Imam Ahmad Ibn Hanbal was one of the Hanbali mazhab philosophers who lived during the Abbasid dynasty. A number of ideas were followed by scholars after him. Though he suffered various rejections from other scholars and even rulers, Imam Ahmad Ibn Hanbal's thought is still relevant to the development of contemporary Islamic law. This article aims to analyze the influence of Imam Ahmad Ibn Hanbal's thinking in the context of the reformation of Islamic law. Data is obtained through the study of documents using descriptive methods and analyzed critically. The results of the research showed that Ahmad ibn Hanbal's strong tendency towards the hadiths undermined the formulation of hadith-based fikih. The intensity of the use of the hadith and the giving of sufficiently strong authority made Ahmad Ibn Hanbal, in the view of some fuqaha, a fuqaha muhadditsin. One thing that became the best practice in Ahmad Ibn Hanbal's character was his diligence in upholding opinions and not being easily influenced by the will of the ruler. This fact can be a reference to the society and the rulers that exist at this time.
Enhancing organizational behaviour through corporate governance: The crucial role of organizational culture and sustainability
Authors: Abdelwahed Nadia Abdelhamid Abdelmegeed , Soomro Bahadur Ali
Published: January 2024

Corporate sustainability (CS) has become the world’s most persistent matter, which enormously enhances the success of organizations. The purpose of the study is to explore the factors that affect CS in small and medium-sized enterprises (SMEs) in Saudi Arabia. The study develops a model based on vigorous literature and proposes a few hypotheses based on the studies of Moslehpour et al. (2022) and Wijethilake et al. (2023). The study employed a survey strategy and found the results on 336 valid samples. The researchers applied a path analysis using SmartPLS 4 to predict the effects. The results of the study demonstrate a positive significant impact of organizational culture (OC), business infrastructure (BI) and corporate governance (CG) on CS. On the other hand, corporate alignment (CA) is a negative significant predictor of CS. Besides, CG mediates the relationship between OC, BI and CS but does not mediate the connection between CA and CS. The SMEs’ top management may enhance performance by considering OC, BI, CA and CG constructs. Finally, the findings support to literature to overcome gaps in the direct and indirect role of CG integrated with OC, BI and CA towards CS.
Detecting, attributing, and projecting global marine ecosystem and fisheries change: FishMIP 2.0
Authors: Blanchard Julia L. , Novaglio Camilla , Maury Olivier , Harrison Cheryl Shannon , Petrik Colleen M , Arcos L. Denisse Fierro , Ortega-Cisneros Kelly , Bryndum-Buchholz Andrea , Eddy Tyler , Heneghan Ryan , Roberts Kelsey E , Schewe Jacob , Bianchi Daniele , Guiet Jerome , Denderen Daniel van , Palacios-Abrantes Juliano , Liu Xiao , Stock Charles A. A , Rousseau Yannick , Büchner Matthias , Adekoya Ezekiel , Cheung William , Christensen Villy , Coll Marta , Capitani Leonardo , Datta Samik , Fulton Beth , Fuster Alba , Garza Victoria , Lengaigne Matthieu , lindmark Max , Murphy Kieran , Ouled-Cheikh Jazel , Prasad Sowdamini P. , Oliveros-Ramos Ricardo , Reum Jonathan Charles , Rynne Nina , Scherrer Kim , Shin Yunne-Jai , Steenbeek Jeroen Gerhard , Woodworth-Jefcoats Phoebe , Wu Yan-Lun , Tittensor Derek
Published: January 2024

There is an urgent need for models that can robustly detect past and
project future ecosystem changes and risks to the services that they
provide to people. The Fisheries and Marine Ecosystem Model
Intercomparison Project (FishMIP) was established to develop model
ensembles for projecting long-term impacts of climate change on
fisheries and marine ecosystems while informing policy at
spatio-temporal scales relevant to the Inter-Sectoral Impact Model
Intercomparison Project (ISIMIP) framework. While contributing FishMIP
models have improved over time, large uncertainties in projections
remain, particularly in coastal and shelf seas where most of the world’s
fisheries occur. Furthermore, previous FishMIP climate impact
projections have mostly ignored fishing activity due to a lack of
standardized historical and scenario-based human activity forcing and
uneven capabilities to dynamically model fisheries across the FishMIP
community. This, in addition to underrepresentation of coastal
processes, has limited the ability to evaluate the FishMIP ensemble’s
ability to adequately capture past states - a crucial step for building
confidence in future projections. To address these issues, we have
developed two parallel simulation experiments (FishMIP 2.0) on: 1) model
evaluation and detection of past changes and 2) future scenarios and
projections. Key advances include historical climate forcing, that
captures oceanographic features not previously resolved, and
standardized fishing forcing to systematically test fishing effects
across models. FishMIP 2.0 is a key step towards a detection and
attribution framework for marine ecosystem change at regional and global
scales, and towards enhanced policy relevance through increased
confidence in future ensemble projections.
Information Technology Practices and Job Performance of Secretaries in Tertiary Institutions in Lagos State, Nigeria
Authors:   Department of Office & Information Management Lagos State University of Science and Technology Ikorodu, Lagos State, Nigeria, Erwat E.A. , Idiake Christiana Omoye
Published: January 2024

Information plays a vital role in the life of every individual and a country at large. The life sustainer of every organization can be traced to information technology practices. Secretaries are not left out in the practice of information technological. However, a situation whereby the indicators of information and technology management is not practiced, there is every tendency that the level of job performance working in such organizations will be questioned. In this regard, this study deems it fit to investigate how Information Technology Practices (ITP) will influence Job Performance (JP) of secretaries in higher institutions of learning in Lagos state. Descriptive research design was adopted. Population consists of 1189 secretaries in higher institution of learning in Lagos state. Multistage sampling technique was adopted, afterwards, 226 secretaries served as the sample size for this study. The reliability coefficient for each of the variable ranged from 0.70 to 0.95. Data collected was analyzed using descriptive and inferential statistics. Findings revealed that ITP was found to significantly influence JP (Adj. R2 = 0.102; p = 0.000). The study concluded that in terms of achieving maximum job performance, only ITP will bring about this. The study recommended that taking decisions by secretaries should be engineered by IT related factors, should actually avail themselves of making use of state of the art IT facilities during the course of their jobs and also secretaries in higher institution of learning in Lagos state should be compensated handsomely if they carry out extra jobs within the institution. Keywords: Information Technology Practices, Job Performance, Lagos State, Secretaries. Journal Reference Format: Erwat, E.A. & Idiake, C.O. (2023): Information Technology Practices and Job Performance of Secretaries in Tertiary Institutions in Lagos State, Nigeria. Humanities, Management, Arts, Education & the Social Sciences Journal. Vol. 11. No. 1, Pp 1-10 www.isteams.net/humanitiesjournal. dx.doi.org/10.22624/AIMS/HUMANITIES/V11N2P1
Zastosowanie modyfikacji metody k-średnich w analizie portfelowej
Authors: Pietrzykowski Robert , Kobus Paweł
Published: January 2024

W pracy przedstawiono modyfikacje metody k - średnich oraz jej zastosowanie do analizy spółek giełdowych notowanych na Warszawskiej Giełdzie Papierów Wartościowych w roku 2004. W podziale na grupy uwzględniono 206 spółek, które grupowano ze względu na najczęściej wykorzystywane wskaźniki finansowo - ekonomiczne
Vinia: Voice-enabled intent-based networking for industrial automation
Authors: Barbosa Raul , Fonseca João , Araújo Marco , Corujo Daniel
Published: January 2024

Intent Based Networking (IBN) is a promising approach for automating and managing large and complex networks. Integrating Voice-enabled Virtual Assistants (VVAs) with IBN and Software Defined Networking (SDN) has improved network management efficiency and flexibility. However, there is still room for optimization improvement in installing intents in industrial scenarios. Network Orchestration Automation plays an important role within the Beyond 5G and 6G Networks, considering existing practices for orchestrating 5G Network Functions. This work presents an extended preliminary architecture for a voice-enabled IBN system called VINIA for industrial network automation. The new approach allows the configuration of more network assets (e.g., 5G networks), leveraging Network Orchestrators and Network Slice Managers, thus improving the system?s capabilities. The results provide insights into this solution?s potential benefits and limitations to enhance the automation of industrial networks? management and orchestration procedures.
Activity recognition for elderly care using genetic search
Authors: Biswal Ankita , Panigrahi Chhabi , Behera Anukampa , Nanda Sarmistha , Weng Tien-Hsiung , Pati Bibudhendu , Malu Chandan
Published: January 2024

The advent of newer and better technologies has made Human Activity Recognition (HAR) highly essential in our daily lives. HAR is a classification problem where the activity of humans is classified by analyzing the data collected from various sources like sensors, cameras etc. for a period of time. In this work, we have proposed a model for activity recognition which will provide a substructure for the assisted living environment. We used a genetic search based feature selection for the management of the voluminous data generated from various embedded sensors such as accelerometer, gyroscope, etc. We evaluated the proposed model on a sensor-based dataset - Human Activities and Postural Transitions Recognition (HAPT) which is publically available. The proposed model yields an accuracy of 97.04% and is better as compared to the other existing classification algorithms on the basis of several considered evaluation metrics. In this paper, we have also presented a cloud based edge computing architecture for the deployment of the proposed model which will ensure faster and uninterrupted assisted living environment.
SPC5: An efficient SpMV framework vectorized using ARM SVE and x86 AVX-512
Authors: Regnault Evann , Bramas Bérenger
Published: January 2024

The sparse matrix/vector product (SpMV) is a fundamental operation in scientific computing. Having access to an efficient SpMV implementation is therefore critical, if not mandatory, to solve challenging numerical problems. The ARMbased AFX64 CPU is a modern hardware component that equips one of the fastest supercomputers in the world. This CPU supports the Scalable Vector Extension (SVE) vectorization technology, which has been less investigated than the classic x86 instruction set architectures. In this paper, we describe how we ported the SPC5 SpMV framework on AFX64 by converting AVX512 kernels to SVE. In addition, we present performance results by comparing our kernels against a standard CSR kernel for both Intel-AVX512 and Fujitsu-ARM-SVE architectures.
Development of geospatial passability maps: A multi-criteria analysis approach
Authors: Potic Ivan , Stojanovic Marija , Curcic Nina , Djordjevic Dejan , Bankovic Radoje
Published: January 2024

This research presents a comprehensive analysis of the production of terrain passability maps in southeastern Serbia, employing a multi-criteria decision-making (MCDM) analysis. The study integrates various geographical and infrastructural aspects, assigning coefficients to each input parameter, including rivers, roads, rails, CORINE Land Cover (CLC), soil, slope, and the Topographic Ruggedness Index (TRI). The introduction of the TRI marks an innovative advancement in terrain analysis and passability. By comparing wet and dry periods, the study provides critical insights into the dynamic nature of terrain passability, with implications for transportation planning and emergency response. The research's innovative approach and detailed examination set it apart, offering valuable contributions to scholarly comprehension and practical applications. The findings underscore the potential for interdisciplinary collaboration and the broad impact of geographic information systems (GIS) and terrain analysis in addressing real-world challenges. Future research may explore additional factors influencing terrain passability and expand the geographical scope of the study.
Study on the effects of the processing parameters on the single tracks and the block support structures fabricated by selective laser melting
Authors: Zhang Tao , Zhang Kaifei , Chen Qi , Pang Yuanzhen
Published: January 2024

In order to prevent the deformation of the part, enhance heat conduction, and establish a stable foundation, additional support structures are typically incorporated beneath the parts during the selective laser melting (SLM) process. These structures are subsequently eliminated once the SLM process is completed, thereby facilitating the attainment of near-net forming. Therefore, their SLM processing parameters should be different from those of the solid parts to obtain the desirable functions and removability. However, there is so far very little research focusing on the optimization of the SLM processing parameters of the support structures compared with the solid objects. In this work, the widely used block support was illustrated as an instance, and an optimization strategy of its SLM processing parameters was provided. The effects of laser power, scanning speed, and layer thickness on the morphology and qualities of single track, support sample, and support tensile sample were systematically investigated. The results showed that the SLM processing parameters have a significant impact on the properties of the block support by regulating the qualities of the single tracks. At last, a group of optimal SLM processing parameters (80 W of laser power, 400 mm/s of scanning speed, 60 μm of layer thickness) was determined for the Ti-6Al-4V titanium alloy, and the corresponding ultimate tensile strength of the support structure reached 416 MPa.
Impact of Structured Teaching Program on ICU Nurses’ Knowledge and Practice in Prevention of Ventilator Associated Pneumonia in Khartoum, Sudan
Authors: Alshameri Faroq
Published: January 2024

Background: Ventilator-Associated Pneumonia (VAP) is a prevalent hospital-acquired infection associated with increased mortality rates. Nurses play a significant role in preventing VAP by providing round-the-clock care to critically ill patients. This study aimed to evaluate the effectiveness of a Structured Teaching Program (STP) on ICU nurses’ knowledge and practices regarding VAP prevention in Khartoum. Methods: A quasi-experimental study with comparison groups (intervention and control) was conducted using purposive sampling. Data on knowledge and skills were collected from 120 ICU nurses using a structured knowledge questionnaire and direct observation checklist. The STP was implemented, followed by a post-test and final assessment after two weeks, using the same questionnaire and checklist. Data were analyzed using the Statistical Package for the Social Sciences (SPSS) program version 20. Results: The overall mean pre-test knowledge scores on VAP prevention were 17.95 out of 40 for the intervention group and 18.5 out of 40 for the control group, with a statistically insignificant difference (p=0.617>0.05). The post-test scores were 32.05 out of 40 for the intervention group and 20.83 out of 40 for the control group, showing a statistically significant difference (p=0.000<0.05). The overall mean initial assessment of practice compliance was 9.27 out of 20 for the intervention group and 4.97 out of 20 for the control group, with a statistically significant difference (p=0.000<0.05). In the final assessment, the mean scores were 12.77 out of 20 for the intervention group and 5.7 out of 20 for the control group, also showing a statistically significant difference (p=0.000<0.05). The VAP incidence rate during the pre-intervention phase was 54.4 cases per 1000 ventilator days for the intervention group and 40.35 cases per 1000 ventilator days for the control group. In the post-intervention phase,the rates were 39.6 cases per 1000 ventilator days for the intervention group and 64.9 cases per 1000 ventilator days for the control group. Conclusion: The findings indicate a knowledge deficit and inadequate practice compliance among ICU nurses regarding VAP prevention before the intervention. The structured teaching program effectively improved their knowledge and practice compliance, resulting in a reduction in VAP incidence rates.