bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Osseodensification and Standard Implant Site Preparation Techniques in Low Density Bone
Authors: Levonian E. A. , Badalyan V. A.
Published: March 2024

Introduction. Dental implantation is getting more popular with patients who require total dental rehabilitation. Patients note that possibility of immediate loading based on dental implants is more favorable treatment option due to active social life. Low bone density, often occurred in the maxilla, frequently presents challenges for clinicians to achieve successful implant primary stability for predictable immediate loading.

The aim of our study was to increase the efficiency of treatment of patients who require dental implantation in the maxilla.

Materials and methods. Twenty-seven patients aged from 27 to 66 years with missing teeth in the alveolar process of maxilla were treated. All patients in this randomized clinical trial were divided into two groups. We used two methods for implant site preparation: the standard technique according to manufacturer’s recommendations in the first group (n = 13) and the Osseodensification technique via Densah drills (n = 14) in the second. All patients were treated by Astra Tech dental implants with the same dimensions (diameter 4 mm, length 9 mm). Immediately after implant placement the data of the frequency-resonance analysis of the implant stability and insertion torque were installed and obtained. Furthermore, a comparison of the operation time was carried out. Clinical evaluation and patient appreciation of pain, edema and hyperemia of the mucosa were evaluated using a questionnaire at 1, 3, 5 and 7 days after surgery. The measurement of the values of the stability quotient of the implants was repeated and carried out after six months.

Results. Higher values of implant primary stability (insertion torque and implant stability quotient during surgery) were showed in the osseodensification group (IT — (45,0±5,8), ISQ — (71,8±2,9)) in comparison with standard technique (IT — (27,7±3,8), ISQ — (62,8±3,2)); p < 0,05.

Discussion. Osseodensification technique promotes compaction of a low density bone in direct contact with the implant, which leads to higher implant primary stability due to the physical interaction between bone and implant.

Conclusion. The obtained results allow us to consider that the osseodensification method is progressive for improving the effectiveness of implantological treatment on maxilla.
Early Onset of Mycosis Fungoides
Authors: Kuklin I. A. , Kokhan M. M. , Shakirova A. N. , Kashcheeva Y. V. , Rimar O. G. , Kuklina M. K. , Iglikov V. A. , Kuznetsov I. D.
Published: March 2024

Introduction. Mycosis Fungoides (MF) is a primary epidermotropic T-cell lymphoma characterized by clonal proliferation of small and medium-sized T-lymphocytes with cerebriform nuclei. MF accounts for ≥ 50 % of all cutaneous lymphomas.

The purpose of the study — description of a rare clinical observation of the debut of the development of Mycosis Fungoides in a patient in adolescence.

Materials and methods. To verify the diagnosis, pathomorphological and immunohistochemical examination of a skin biopsy from the most infiltrated tumor-like lesion was used. The patient, born in 1978, turned to the clinic of Ural Research Institute of Dermatovenerology and Immunopathology with complaints of rashes on the skin of the trunk, accompanied by itching and soreness. Patient had been ill since the age of 16, when he first noticed the appearance of red spots on the skin of the chest without subjective sensations. In the last year he noted a significant deterioration of the disease: an increase in the number of spots, an increase in the intensity of itching, the appearance of tumor-like elements on the skin of the buttocks. In December 2022, he visited a dermatovenerologist and, in order to clarify the diagnosis, was sent to the Ural Research Institute of Dermatovenerology and Immunopathology.

Discussion. The etiopathogenesis of the disease and the analysis of the few literature sources on the topic allows us to see the difficulty in early diagnosis and diagnosis in patients with early clinical manifestations of GM.

Results. This clinical case demonstrates the possibility of the debut of GM in adolescence, the complexity of diagnosis in the early stages of development.

Conclusion. The clinical case demonstrates the debut of GM in adolescence, emphasizes the need for clinical oncological alertness among dermatovenerologists.
Prognostic Factors Associated with the Severe Course of a New Coronavirus Infection
Authors: Khamanova Yu. B. , Frayfeld Т. A. , Mullagalieva K. R. , Moskaleva Yu. N. , Kuznetsov P. L.
Published: March 2024

Introduction.Novel coronavirus infection (COVID-19) is a respiratory infectious disease caused by the novel severe acute respiratory syndrome 2 coronavirus (SARS-CoV-2). It is characterized by a heterogeneous course of the disease from asymptomatic and mild forms to more severe and fatal outcomes. There are many risk factors for a severe course of a new coronavirus infection, in most cases, a severe course of the disease is associated with the individual characteristics of the patient, especially with dysregulation of the immune response. In this article, we reviewed the main prognostic factors for the severity of the disease.

The aim of the studyis to determine the unfavorable prognostic factors associated with the severe course of a new coronavirus infection caused by the SARS-CoV-2 virus in foreign and domestic literature sources.

Materials and methods.To achieve this goal, scientific publications on the new coronavirus infection caused by the SARS-CoV-2 virus were analyzed in the scientometric databases PubMed, National Center for Biotechnological Information (NCBI), Cochrane, Web of Science, Scopus, MEDLINE (2019–2022), and Russian specialized journals on infectious diseases (2019–2022). Particular attention was paid to factors influencing the severe course of a new coronavirus infection.

Results.Risk factors for a severe course of a new coronavirus infection include: lipid spectrum, advanced age, hemostasis system, changes in the leukocyte count, serum markers. Mathematical models of the course of a new coronavirus infection have also been developed.

Discussion.In most studies, scientists note that the uncontrolled course of COVID-19 disease is associated with a dysregulated immune response. One of the main methods of influencing the immune system is vaccination.

Conclusion.There are many factors that contribute to the development of severe forms of the disease of a new coronavirus infection. However, thanks to universal vaccination against a new coronavirus infection, the frequency of severe forms of the disease and deaths has significantly decreased. Novel coronavirus infection (COVID-19) is a respiratory infectious disease caused by the novel severe acute respiratory syndrome 2 coronavirus (SARS-CoV-2).
The Promising Role of Oncomarkers CA 19-9 and CA 125 in the Diagnosis of Progressive Pulmonary Fibrosis
Authors: Shchepikhin E. I. , Shmelev E. I. , Ergeshov A. E.
Published: March 2024

Purpose of the study to study the role of serum glycoproteins CA 19–9 and CA 125 as a potential non-invasive biomarker of progressive fibrosis in interstitial lung diseases.

Materials and methods. The study included 77 patients with interstitial diseases. Based on the presence/absence of signs of progression over the previous 6 months, patients were divided into 2 groups. All patients underwent forced spirometry, body plethysmography, diffusion test, computed tomography of the chest, and a study of serum concentrations of CA 19-9 and CA 125.

Results. In the group of patients with a progressive fibrotic phenotype of interstitial lung diseases (ILD), higher levels of CA 19-9 and CA 125 were detected. A correlation of the studied level of tumor markers with parameters of pulmonary function and the severity of interstitial changes in lung changes according to computed tomography of the chest was shown (Warrick test).

Conclusion. The data obtained demonstrate the capabilities of non-invasive diagnosis of PF-ILD and require further research and prospective observation to assess the diagnostic and prognostic role of the studied biomarkers, as well as determine their place in clinical practice.
Coagulation Tests and Volume of Blood Loss in Patients with Premature Placental Abruption
Authors: Bagiyants V. A. , Milyaeva N. M. , Kulikov A. V. , Kovalev V. V.
Published: March 2024

Introduction. Placental abruption continues to be one of the leading causes of bleeding during pregnancy and delivery, posing a direct threat to the health and life of both mother and fetus, making a significant contribution to the structure of maternal and neonatal morbidity and mortality. The study of predictors and prediction of the severity of the consequences of this complication is one of the areas of scientific research.

The purpose of the study is to expand the possibilities of predicting massive bleeding, which is a consequence of premature placental abruption, based on the analysis of prenatal laboratory parameters of the hemostasis system as a universal tool for optimizing the choice of treatment tactics.

Material and methods. A retrospective assessment of the relationship between the volume of bleeding and prenatal laboratory parameters of the hemostasis system was carried out in 46 patients with premature detachment of the placenta delivered by caesarean section in Sverdlovsk Regional Children Clinical Hospital, Ekaterinburg in 2020 using the methods of statistical analysis of quantitative indicators.

Results and discussion. When comparing the volume of blood loss with prenatal indicators of hemostasis, prognostic significance was revealed and paired linear regression equations were constructed for the following parameters: platelet level, plateletcrit, prothrombin time, Quick prothrombin time, activated partial thromboplastin time. And no relationship was found between the volume of blood loss and MPV (p = 0.231), PDW (p = 0.121), P-LCR (p = 0.205), thrombin time (p = 0.79), fibrinogen value (p = 0.07).

Conclusion. The results of the study can be used in building a decision-making algorithm and medical tactics of a multidisciplinary team during care for a patient with premature placental abruption, however, further research is required in this direction to build a universal formula for predicting bleeding volume in placental abruption.
Pensamiento crítico y argumentación en primaria y secundaria. Resultados de una intervención breve
Authors:   Universidad Autónoma de San Luis Potosí, Romero Contreras Silvia , Peña Barceló María Angélica ,   Universidad Autónoma de San Luis Potosí
Published: March 2024

Se impartió, a estudiantes de primaria y secundaria, el programa Word Generation México que busca promover el desarrollo del pensamiento crítico y la argumentación vinculando la oralidad y la escritura a través de la enseñanza directa y la ejercitación de discusiones informadas. El objetivo de este trabajo fue analizar los textos argumentativos producidos al inicio y al final del programa para identificar sus características estructurales y posibles indicadores del pensamiento crítico. Se codificaron los textos de 129 alumnos, 54 de primaria (5º y 6º grados) y 75 de secundaria (1º y 2º grados) que se analizaron cuantitativamente, y se realizaron descripciones cualitativas de algunos ejemplos. Los resultados muestran que el recurso didáctico, a pesar de ser breve, tiene efectos positivos. Los textos finales, en general, tienen una mejor estructura argumentativa, lo que refleja avances en el pensamiento crítico de los autores.
Feeling Scarred Without a Reason: Post-Partum Anxiety and Social Support in a Sample of Women at Government Sector Maternity Hospitals from Sargodha Pakistan
Authors: Lak Tauqeer Ahmed , Hussain Mussarat , Ahmed Umair
Published: March 2024

Postpartum depression is the most common problem that women face when they are of reproductive age, and it is a serious general health issue. The present study evaluated the impact of social support on postpartum depression among 320 women. By utilizing the purposive sampling technique, an interview schedule was taken as a tool based upon demographic queries asked of the respondent’s continued with the Edinburgh postnatal depression 10-item scale (EPDS) and perceived social support (PRQ85-Part 2). The results of the hypothesis were found to be significant at the alpha level. Analysis revealed that direct support was found to be negatively connected with postpartum depression. It explicitly demonstrates that an increase in social support, especially from the husband, can decrease postpartum depression in women, and a decrease in the levels of social support was found to be a prominent factor behind postpartum depression.
The Degeneration of Grand Narratives into Local Narratives: A Postmodern Analysis of the Shazaf Fatima Haider’s Novel “How It Happened”
Authors: Zahid Syeda Amarah , Mujahid Memona , Hussain Syed Muzaffar
Published: March 2024

The present study is a postmodern analysis of the Pakistani author Shazaf Fatima Haider’s novel “How It Happened” which is built on meta-narratives about marriages, religion, sects and gender in local culture. Metanarratives can be defined as interpretive frameworks or ways of understanding the world and are considered valid and true regardless of the spatial and temporal boundaries. The study explores the sociocultural metanarratives and the process of their replacement by local narratives’ by applying Jean Francis Lyotard (1979)’s theoretical framework of postmodernism. Lyotard believes that micro-narratives provide a more detailed picture of the fragmented society and comparatively grand narratives hold very little credibility regardless of what mode of unification it uses, i.e. speculative narrative or a narrative of emancipation. The study answers how the novel challenges long-existing sociocultural metanarratives and which local narratives have replaced them in Pakistani society. The study concludes that Shazaf Fatima Haider, through her postmodern characters, challenges the long-standing metanarratives of Pakistani culture and replaces them with local narratives.
From Authoritarianism to Democracy in Poland Catholic church, the Union Movement Solidarity and the History of Democratic Change
Authors: Jovovi? Zoran R.
Published: March 2024

The paper examines the complex process of transition from a non-democratic to a democratic regime and the consolidation of the government system in Poland. The specificity of the democratic transition in Poland, in relation to other transitions in Central and Eastern Europe, is reflected in the nature of the non-democratic regime, which was more authoritarian than (post)totalitarian. Hence, while the communist regime was in force, social pluralism managed to be preserved to the highest possible extent. Preserved social and even political pluralism later contributed to success in the transition process. The military-party regime in Poland, after Gorbachev came to power in the USSR, applied the strategy of getting out that took the form of negotiations between the political position and the political opposition at the Round Table. The compromise ended the negotiations and brought about semi-free elections, on one, and the controlled democratic transition in Poland, on the other hand. The event was accelerated when, in semi-free elections, the popular Solidarity movement defeated the then-ruling communist group. The provisions of the Agreement were fully respected by both sides. In the end, after the Second World War, it was Poland whose citizens were the first to overthrow at the regular elections. The Round Table Agreement established the function of a strong president, who was directly elected. That function was first used by Leh Valensa, the leader of Solidarity. The extreme proportional election method and the fragmentation of Solidarity, in terms of the creation of several political parties, resulted in the establishment of a multi-party semi-presidential system. The change in the electoral system and the inappropriate tactics of the political parties that emerged from Solidarity enabled the left-wing government to come to power and ensured the post of president to a post-communist candidate (Darmanovi?, 2002). The transfer of power from Solidarity to their former rivals, who fundamentally changed, managed to end peacefully and Poland slowly entered the phase of consolidation of the government system.
Issues of Legislation of Cryptocurrency in Pakistan: An Analysis
Authors: Muhammad Arif Saeed  , Sial Muhammad Hassan
Published: March 2024

Cryptocurrencies have been gaining popularity in Pakistan since 2015. However, in 2018, digital currencies were banned in Pakistan by the State Bank of Pakistan and the Federal Board of Revenue. The current paper will explore the issues of the legalization of cryptocurrencies in Pakistan. The study shares a brief description of international and national reviews about the trend of cryptocurrencies and their legality. There are various cryptocurrencies, including Bitcoin, Pakcoin, OKeX, Blockfolio, Crypto and KuCoin. By adopting the qualitative methodology, the researchers have analyzed the social media context, famous news websites and views of famous personalities involved in attempts to legalize and trend cryptocurrencies in Pakistan. It has been found in the study that there are various policy and legislative issues along with the consent of different governments of all provinces of Pakistan that declared cryptocurrency illegal and banned at different times. There is a need for some serious concerns regarding people's awareness of cryptocurrency to enhance the country's economy on practical grounds.
Revitalizing the Cultural Heritage: Assessing the Historical Significance and Conservation Potential of Hindu Sites in Punjab, Pakistan
Authors: Fatima Zaryab , Ahmed Umair , Khursheed Alishba
Published: March 2024

The cultural heritage of Hindu sites in Punjab, Pakistan, represents a tapestry of ancient civilizations, architectural brilliance, and religious significance. The region is home to a diverse array of ancient Hindu sites that hold immense value as religious centers and markers of South Asia's rich cultural past. Understanding the historical context of these sites is essential to formulate effective conservation strategies.  This study aims to assess the historical importance and conservation potential of these sites to provide insights into preserving their rich cultural legacy. To achieve the objectives, qualitative secondary data analysis was employed. It includes an extensive literature review of historical sources, archaeological records, and scholarly works on the cultural heritage of Hindu sites in Punjab. Through a thematic literature review, the results of the study highlight the cultural syncretism and pluralism evident in the architectural features and artistic expressions found at these sites. However, it also reveals significant challenges, such as inadequate funding, urbanization, lack of public awareness, and environmental threats, contributing to their deterioration and neglect. The revitalization of the cultural heritage of Hindu sites in Punjab is of paramount importance to preserve the region's rich history and promote interfaith harmony and cultural diversity. The study recommends collaborative efforts involving various stakeholders to allocate sufficient funding, raise public awareness, and implement sustainable conservation measures. By celebrating the diverse cultural heritage of Punjab through these historical treasures, the region can foster a sense of pride, identity, and unity among its communities.
Academic Tracking Needs among High School Students
Authors: Manzoor Misbah , Sami Ullah MUhammad , Manzoor Sajid
Published: March 2024

Academic tracking is the formal practice of separating students into distinct educational programs. It separates students into groups according to an observed ability, thus each track group consists of a more or less homogeneous student population. Academic tracking is widely used in academic systems around the world. It has been an important aspect to achieve a better educational system. This research study is designed to explore the teachers’ and Principals’ perceptions about the need of academic tracking at the secondary school level. The objectives of the study were (a) to find out the Principals’ and teachers’ perceptions regarding the need of academic tracking for students at secondary school level and (b) to develop a framework for academic tracking. The design of the study was descriptive in nature. A mixed- methods approach that merges both qualitative and quantitative techniques were employed in the study. The population of the study consisted of  163 teachers and 7 Principals of Islamabad Model Schools and Colleges for Girls. Quantitative data from teachers were collected through questionnaire and qualitative data from Principals were collected through interviews. Data were collected by the personal visits of the researcher. Mean and percentage were used to analyze the quantitative data. Whereas, the qualitative data were analyzed through thematic analysis by using NVivo software. The study results showed that a positive teachers’ perceptions exists about academic tracking needs. Most of the respondents agreed that tracking is needed as it flourishes healthy competition among students and known as necessary for the students’ motivation and growth. It was recommended that uniform tracking system may be executed across the country
An Empirical Study on Asymmetric Exchange Rate Pass-Through to Sectorial Inflation of Pakistan
Authors: Shahzad Khurram , Jaffri Atif Ali , Fatima Sahar
Published: March 2024

This study empirically examined the exchange rate pass through (ERPT) in sectoral inflation of Pakistan for the period 2007M6 to M62018 by applying the Ordinary Least Square (OLS) model. The study has used consistent monthly data with 2007-08 base year. The empirical results showed that due to 1 percentage point increase in depreciation of Pak rupee against US dollar, monthly transport inflation increased by 0.90 percentage points, monthly restaurant inflation increased by 0.78 percentage points, monthly food inflation increased by 0.27 percentage points and monthly housing inflation increased by 0.32 percentage points in the long run. It means that exchange rate has positive and significant effect on monthly transport inflation, monthly restaurant inflation, monthly food inflation and monthly housing inflation. All required diagnostic tests have been performed to verify that there is no heteroscedasticity, no autocorrelation, stability of model, and normality of estimated residuals. The study concluded that ERPT may be estimated for inflation in sub-indices of CPI as a regular practice by monetary authorities to rationalize asymmetric effects of depreciation on different sectors of the economy
Economic Shockwaves: Examining Stock Market Behavior in Pakistan Amidst the COVID-19 Pandemic
Authors: Jaleel Iltaf  , Riaz Ahmed  , Ayyoub Muhammad
Published: March 2024

The COVID-19 pandemic sent shockwaves through global economies, particularly affecting capital markets and stock price returns across major indices. This study examines the response of various industries listed on the Pakistan Stock Exchange (PSX) to the initial COVID-19 lockdown implemented on March 23, 2020. The research evaluates stock market reactions within a 61-day event window, with a focus on Average Abnormal Returns (AAR) and Cumulative Average Abnormal Returns (CAAR). The study encompasses nine diverse industries and employs regression analysis to compute alpha and beta coefficients. Notably, the findings reveal short-lived negative impacts across industries, followed by swift recoveries, indicative of the stock market's resilience in Pakistan. Descriptive statistics highlight sector-specific characteristics, while regression results emphasize low stock return volatility. The study underscores the role of government interventions and investor confidence in mitigating the pandemic's economic impact, providing valuable insights for investors, policymakers, and researchers. This research contributes to our understanding of stock market dynamics during crises, particularly in emerging economies.
Usage and Implications of Artificial Intelligence for Research Purposes at University Level
Authors: Gulfraz Naqvi  , Muhammad Abubakar Sarfaraz  , Muhammad Usman Ali  , Ahmer Ali
Published: March 2024

AI is a complex form of research that aims to enable machines to act, behave, and make decisions like humans. As advances in computing and Information Communication Technologies (ICT) continue, there is a gradual shift towards designing and designing computer systems and devices with human-like dimensions and functionality that make them more impactful. The method chosen for this study is quantitative research. The area where new technologies were using AI tools was those using learning analytics. The method of data collection was a survey questionnaire based on Google as a method of data collection based on closed questions. The questionnaire design followed several assumptions such as linear, multiple questions, etc. The method used for data analysis included descriptive statistical analysis, correlation, and regression analysis. Furthermore, statistical evidence has shown that AI tools can be widely used for research purposes. This study offers suggestions to university students that they can use AI tools effectively in their studies in universities, either by increasing their awareness and trying to adopt AI technologies or by ensuring that they carry technological tools a large face will dominate the role. University IT departments should collaborate with students to set up AI labs and strengthen virtual labs.
Change in employment status and its causal effect on suicidal ideation and depressive symptoms: A marginal structural model with machine learning algorithms
Authors: Yoon Jaehong , Kim Ji-Hwan , Chung Yeonseung , Park Jinsu , Leigh Ja-Ho , Kim Seung-Sup
Published: March 2024

OBJECTIVE: This study aimed to assess the causal effect of a change in employment status on suicidal ideation and depressive symptoms by applying marginal structural models (MSM) with machine-learning (ML) algorithms.

METHODS: We analyzed data from the 8–15th waves (2013–2020) of the Korean Welfare Panel Study, a nationally representative longitudinal dataset. Our analysis included 13 294 observations from 3621 participants who had standard employment at baseline (2013–2019). Based on employment status at follow-up year (2014–2020), respondents were classified into two groups: (i) maintained standard employment (reference group), (ii) changed to non-standard employment. Suicidal ideation during the past year and depressive symptoms during the past week were assessed through self-report questionnaire. To apply the ML algorithms to the MSM, we conducted eight ML algorithms to build the propensity score indicating a change in employment status. Then, we applied the MSM to examine the causal effect by using inverse probability weights calculated based on the propensity score from ML algorithms.

RESULTS: The random forest algorithm performed best among all algorithms, showing the highest area under the curve 0.702, 95% confidence interval (CI) 0.686–0.718. In the MSM with the random forest algorithm, workers who changed from standard to non-standard employment were 2.07 times more likely to report suicidal ideation compared to those who maintained standard employment (95% CI 1.16–3.70). A similar trend was observed in the analysis of depressive symptoms.

CONCLUSIONS: This study found that a change in employment status could lead to a higher risk of suicidal ideation and depressive symptoms.
Applications of Partial Differential Equations in Fluid Physics
Authors: Swapna Y.
Published: March 2024

Partial differential equations, or PDEs, assume a critical part in grasping and outlining different fluid physics peculiarities. They have an expansive scope of utilizations, from expecting weather patterns to consolidating ocean streams, fire cycles, and fluid streams into system plan. These equations oversee the way of behaving of fluid amounts like as speed, stress, temperature, and consistency. They portray complex collaborations like changes in precipitation, scattering, and fluid-solid associations. Partial differential equations are utilized to apply the developing methodology. The arrangement is equivalent to for the recently concentrated on examples of typical differential equations. There are two kinds of partial differential equations: nonlinear and straight. Some certifiable equations, for example, those in electrostatics, heat conduction, transmission lines, quantum mechanics, and wave hypothesis, feature the significance of partial differential equations (PDEs). To make sense of something other than one, two, or three pieces of the partial differential equations, we will check out at the speculative piece of those applications that utilization PDEs in this examination. In all parts of science and development, partial differential equations, or PDEs, are generally utilized. Partial differential equations handle most of genuine frameworks. A condition communicating a connection between a piece of no less than two free factors and the partial helpers of this cutoff concerning these free factors is known as a partial differential condition, or PDE.
A Study on Enhancing Sustainability in Circular Supply Chains through Green Innovations
Authors: Dr. Geeta Kesavaraj Mr. Khaja Khan Pathan ,
Published: March 2024

Redefining product and service lifecycles with eco-friendly and sustainable processes, circular supply chains are green breakthroughs. Minimising waste, environmental effect, and resource efficiency are its goals. In a circular supply chain, green innovations can include product design that facilitates recycling or reuse, process improvements that reduce energy consumption and emissions, logistics solutions that optimise transportation for lower carbon footprints, and service innovations that promote sustainability. These green ideas improve supply chain efficiency and competitiveness while helping the environment. Businesses may reconcile economic growth and environmental stewardship by rethinking and rebuilding linear supply models into circular and sustainable ones, paving the way for a more sustainable future. This study examines how green innovations affect circular supply chains in Andhra Pradesh's durable goods industry. It analyses how product, process, logistical, and service green innovation improves supply chain efficiency. The quantitative research uses structured surveys to obtain data from 150 industry professionals and customers. Convenience sampling was used to acquire varied supply chain performance metrics responses.  SPSS is used for rigorous regression analysis in the study. This method lets you study how green innovation affects circular supply chain performance. All green innovations improve supply chain efficiency, but green service innovation has the greatest benefit. This research provides strong evidence for green innovations in durable goods industry circular supply networks. The study emphasises ecologically friendly product creation, logistics, service delivery, and process management.
Infrastructure Sector as An Inducement Determinant Propelling The Incredible Economic Growth Story Of Bharat
Authors: Dr Rajashree Yalgi Dr Sanjay Sinha,
Published: March 2024

‘India will be world’s third largest economy in four years’ forecasted by IMF chief economist Ms Gita Gopinath and mentioned in her interview to India Today. India’s economy is among the fastest growing in the world. With a $3.7 trillion GDP, India’s economy is currently ranked as the fifth largest. India’s GDP is predicted to surpass that of Germany and Japan by 2030, according to a number of estimations. According to S&P, a rating organisation, India’s nominal GDP is expected to increase from $3.4 trillion in 2022 to $7.3 trillion by 2030.
Assessment Of Supply Chain Collaboration in Case of The Seaport Logistics of Iron Ore Export: Use of The Supply Chain Management Framework
Authors: Amonkar Raj V.
Published: March 2024

Global seaport logistics has attained importance in the context of globalization. Complexities of global seaport logistics have necessitated collaboration of supply chains using the seaports.

The mining companies and associated manufacturing companies are heavily dependent on seaport logistics for import of key raw materials such as Copper Concentrate, Coal, Iron ore, Dolomite, Bauxite as well as the export of the mined product. The objective of this research is to carry out an assessment of the level of supply chain collaboration in case of a supply chain pertaining to the export of iron ore. For this purpose, we used a supply chain management approach in the analysis of the supply chain of ABC, a company engaged with the mining and export of iron ore. More explicitly we referred to the supply chain management framework defined by Ahmad and Ullah (Ahmed & Ullah, 2012). We gathered the needed information by conducting semi structured interviews with the officials of ABC.
Optimizing Sustainability: Investigating The Integral Role of Green Supply Chain Management in Small and Medium-Sized Enterprises (Smes)
Authors: Oshin Yadav Dr. Priyanka yadav,
Published: March 2024

This research paper investigates the pivotal role of Green Supply Chain Management (GSCM) in the context of Small and Medium-sized Enterprises (SMEs). As global concerns over environmental sustainability continue to rise, SMEs, often viewed as the backbone of economies, face unique challenges and opportunities in integrating green practices within their supply chain operations. This study delves into the multifaceted dimensions of GSCM, exploring its implications for SMEs in terms of environmental responsibility, economic viability, and stakeholder relationships.

The research employs a comprehensive methodology, including a thorough literature review, case studies of successful GSCM implementations in SMEs, and empirical analysis of challenges faced by SMEs in adopting sustainable supply chain practices. The objectives are to understand how SMEs integrate GSCM into their operations, identify the barriers and drivers influencing adoption, and assess the impact on environmental, economic, and social performance.
Impact of Macroeconomic Variables on the Performance of the Indian stock market
Authors: Dr Amit Hedau
Published: March 2024

This paper analyses the macroeconomic factors influencing performance of Indian stock market index NIFTY 50. The study is unique in nature as it employ both, primary and secondary to derive the conclusion. Initially, nine years monthly data of macroeconomic variables are regressed against monthly performance of NIFTY 50 index using logistic regression. In second stage the outcome of regression analysis is ratified with primary data collected through face to face interview of the stock market expert. The secondary data analysis confirm Dow jones index and exchange rate movement are the main determinants of NIFTY 50 index. However, expert opined that other factors like political stability, economic situation in developed and bilateral relations of India with other countries are also important to forecast the NIFTY 50 index movement. This is the first study in Indian context, to combine domestic and international factors to forecast NIFTY 50 index movement.
Yesus Memberi Makan Lima Ribu Orang: Kajian Model Pembelajaran Berbasis Masalah
Authors: Warwer Fredrik
Published: March 2024

The "problem-based learning model" is learning that uses problems as the core of learning, identifies relevant facts and analyzes problems. The Lord Jesus in His teaching also used problems in preaching the gospel, as in "Jesus fed the five thousand". This research aims to create a problem-based modeling of the biblical text Matthew 14:13-21 about “Jesus feeding five thousand people,” with research questions including: 1) what was Jesus' role as an instructor?; 2) what is the role of students as facilitators; and 3) what is the problem-based learning model in the context of “Jesus Feeding the Five Thousand?” This research uses a qualitative approach with phenomenological methods. In problem-based learning modeling, the selection of problems to be discussed is very important. Learning from Jesus who acted as an instructor and told His disciples to feed five thousand people, as an instructor Jesus set an example and example in solving and solving problems. The disciples acted as facilitators and ministered to the five thousand people present at the time. This research can contribute to profiding an alternative study model in understanding the text of the Bible.
Regional Specifics of the Frequency of Road Accidents on the Highways of Republican Significance of Kazakhstan, Based on the Mortality Rates and the Number of Victims in 2021
Authors:   Astana Medical University, Ismailova Aigul , Sisenova Assemgul ,   Astana Medical University, Orazova Galiya ,   Astana Medical University
Published: March 2024

The purpose of the study: to study the frequency of road accidents on highways of national significance for 2021, based on the mortality rates and the number of victims in the regions of Kazakhstan.Methods. The paper analyzes the indicators of the frequency of accidents, their mortality rate and the number of victims, based on the population density. The work of the country's highway medical and rescue centers has been also evaluated, namely the number of departures and the number of hospitalizations.Results. The number of road accidents in relation to the population density during the study period prevails in the city of Almaty and Almaty region – 33%, Zhambyl region – 11%, in the city of Nur-Sultan and Akmola region - 11%, in the city of Shymkent and Turkestan region – 7%. The proportion of accidents in the context of the regions of Kazakhstan left: the southern region – 54%, the northern region – 22%, the western region – 12%, the eastern region - 6%, central Kazakhstan – 5%. Greater number of victims per 1 exit of highway medical and rescue points can be noted in the city of Almaty and Almaty region (1211), the city of Shymkent and Turkestan regions (408), as well as in Zhambyl (412) and Karaganda (403) regions. The highest mortality rates as a result of road accidents are observed in the southern region of Kazakhstan: the city of Almaty and Almaty region (31.98 per 100 thousand population), in Shymkent and Turkestan region (16.46 per 100 thousand population) and in Zhambyl region (10.67 per 100 thousand population). The lowest indicator in the North Kazakhstan region is 2.03 per 100 thousand population.Conclusions. There is a correlation between the cases of road accidents, the number of injured and dead as a result of road accidents and the population density, since the largest proportion of road accidents occur in the densely populated regions of Kazakhstan. There is a decrease in the number of road accidents in 2021 by 16% compared to previous years, which was reflected in a decrease in the number of visits by teams of HMRP by 12%, medical care provided by 27% and the number of hospitalized by 8%
A bibliometric review of ecosystem services and coastal zones: diagnoses and trends
Authors: Souza Nivaldo Lemos de , Nóbrega Ranyere Silva , Torres Maria Fernanda Abrantes , Ferreira Junior Antonio Vicente
Published: March 2024

Bibliometric analysis is an instrument used to quantify scientific production on a given topic. This type of analysis can be applied to show trends in an area of study. This review aims to examine how scientific production on ecosystem services, coastal zones, and ports is being carried out, identifying trends and gaps. The guiding questions of the work focused on the growth of production, the ports as focal points, the ecosystems studied, the methodologies used, and which ecosystem services were the focus of discussion. Searches on catalog platforms were made to determine how many articles would be considered for analysis, and after filtering, 91 articles were examined. The main results show that the years 2014 and 2018 were the peak of publications; the United States of America is the country that presented most publications with 19 papers; ports appear in just over 20% of the analyzed works, and beaches and marine environments, such as the continental shelf and slopes, are focus of discussion. More than 50 ecosystem services were found in the analysis, with “food” and “recreational values” being the most studied services. With the decade of the oceans, there is a tendency for the growth of scientific production, maintaining the relevance of the themes, particularly when studied together.
Biometrics Authentication for E-payment
Authors: Khayer Abul
Published: March 2024

This study is designed to assess several key predictors of user intention to accept biometrics authentication for e-payment. To do so, a research model is constructed based on the prominent unified theory of acceptance and use of technology (UTAUT) framework. Further, the UTAUT model is expanded by integrating three prevalent constructs that are essential to accept biometrics authentication. As the principal analytical tools, structural equation modelling (SEM) and importance performance map analysis (IPMA) are employed. The study reveals significant effects of performance expectancy, effort expectancy, social influence, perceived risk and perceived trust on attitude. Moreover, attitude, facilitating conditions, and perceived trust play a substantial role in predicting user adoption intention to biometrics authentication in e-payment. The IPMA suggests that perceived trust and facilitating conditions fall into the critical zone, requiring special managerial considerations. This research has offered a comprehensive research model to explore users’ biometrics authentication adoption behaviour, particularly in the field of e-payment. This study assesses the initial adoption behaviour of biometrics authentication in e-payments; therefore, assessing users’ continuance usage behaviour of this technology can be a potential for future research
Examining Volatility in Bank Stock Prices: A Comparative Exploration of Dividend Policies, Macroeconomic Influences, and Company-Specific Factors
Authors: Rahman Nusrat , Md. Yousuf Harun
Published: March 2024

This study aims to ascertain and compare factors influencing stock price volatility in terms of dividend policy, macroeconomic and company specific aspects for selected subset of listed banks in Bangladesh. Eleven years of secondary data (from 2011 to 2021) for fifteen commercial banks (representing 61.5% market capitalization of the banking sector) was acquired from diverse sources. The dependent variable chosen is stock price volatility, whereas the dividend policy is initially represented by dividend payout ratio (PRt & PRt-1), dividend yield (DYt & DYt-1). Several firm and country-specific macroeconomic indicators are used as control variables. A methodical approach followed by panel data analysis has been employed to identify a suitable model that can yield more accurate estimators. Consequently, some diagnostic tests are also performed to account for diagnosed problems: contemporaneous cross-sectional correlation, group-wise heteroskedasticity and autocorrelation; Driscoll-Kraay standard error regression model is finally applied. The study not only found significant negative impact of dividend payout ratio but also spotted a significant influence of inflation, EPS, and firm size on stock price volatility. Price volatility influenced by “No dividend policy” can be reinvestigated from the aspect of behavioral finance in the future. Furthermore, this study also sheds light on to what extent firm-specific and macroeconomic influence impact stock price volatility in Bangladesh's banking sector.
The Family Mitromorphidae (Gastropoda: Conoidea) in Mozambique and surrounding waters
Authors: Horro Juan , Gori Sandro , Rosado José , Rolán Emilio
Published: March 2024

The species found in Mozambique and surrounding waters belonging to family Mitromorphidae Casey, 1904, are revised and figured. From a total number of 36 species, 13 were already described, Anarithma alphonsiana (Hervier, 1900); A. aurea Boyer & Renda, 2022; A. borbonica Boyer & Renda, 2022; A. lachryma (Reeve, 1845); A. maesi Drivas & Jay, 1986; A. melvilli Boyer, 2022; A. metula (Hinds, 1843); A. pamila (Duclos, 1848); Lovellona atramentosa (Reeve, 1849); Mitromorpha candeopontis Chino & Stahlschmidt, 2009; M. fischeri (Hervier, 1900); M. kilburni Drivas & Jay, 1986 and M. punctata Chino & Stahlschmidt, 2009; while 23 have been considered new for the Science, being described and represented in the present work. These are: Anarithma aurantioquadrata, Mitromorpha albobandata, M. carsteni, M. castanea, M. chuliae, M. conduciensis, M. eucitharomorpha, M. gianuzzii, M. gloriosensis, M. harasewichi, M. nampulae, M. nappoi, M. purpurolineata, M. pusaterii, M. rosacea, M. ruelai, M. rufolineata, M. rufomaculata, M. sera, M. templadoi, M. uniplicata, M. valverdei and M. verdejoi. Mitromorpha candeopontis Chino & Stahlschmidt, 2009 and Mitromorpha punctata Chino & Stahlschmidt, 2009 are cited for first time from West Indian Ocean.
Les manifestations dermatologiques des déficits immunitaires primitifs sur peau foncé à Dakar
Authors: Ndiaye Diop MT , Al Et
Published: March 2024

Introduction : le diagnostic précoce des déficits immunitaires primitifs (DIP) constitue un véritable défi dans le monde. Le but de ce travail était de rapporter les manifestations dermatologiques observées au cours des déficits immunitaires primitifs sur peau foncée à Dakar.

Patients et Méthodes : il s’agissait d’une étude transversale descriptive de Janvier 2018 à Mars 2021, incluant tous les enfants âgés de 0 à 18 ans présentant des manifestations dermatologiques opportunistes sans infection à VIH. Le diagnostic du type de déficit immunitaire primitif était basé sur les 10 tableaux de la classification phénotypique de l’union internationale des sociétés d’immunologistes (UISI) 2019.

Résultats : 64 patients ont été suivis dont 35 filles. L’âge moyen était de 6 ans (extrêmes : 1semaine-18 ans). La médecine traditionnelle était un des recours thérapeutiques dans 94% des cas soit en premier, soit au cours du suivi. Les manifestations dermatologiques étaient entre autre : virales dans 20 cas avec 21,87% de condylomes ano-génitaux ; bactérienne dans 18 cas ; fongiques dans 1 cas; allergique dans 14 cas; auto-immune et auto-inflammatoire dans 12 cas. Les 30 cas ayant bénéficié de bilan immunologique de base, ont révélé un déficit immunitaire primitif avec un syndrome d’Hyper Immunoglobulinémie E (IgE) dans 14 cas.

Conclusion : Tous les cas, ayant un bilan immunologique de base, ont pu être classés selon les 10 tableaux, de la classification phénotypique de l’UISI. Ce résultat suggère une sensibilité des manifestations dermatologiques pour le diagnostic des DIP. Ce constat devra être confirmé par d’autres études
Bulgarian students difficulties and misconceptions in learning chemical kinetics
Authors: Tsenova Martina
Published: March 2024

Knowing the factors that affect the rate of chemical reactions is essential not only for the entire chemical industry, but also applicable in daily life. Understanding chemical kinetics has proven to be a challenge for students, and many misconceptions have been described in the scientific literature. The purpose of the present research is to to identify the difficulties that Bulgarian students encounter when studying chemical kinetics. The research was conducted using quantitative methods – testing and surveying. A diagnostic test was conducted with 17 eleventhgraders studying “Chemistry and environmental protection” at an advanced level. In addition, a survey was conducted with 39 teachers regarding the difficulties they observed students encounter in learning chemical kinetics. From the obtained results, it can be seen that the Bulgarian students encounter difficulties similar to those found in foreign studies when learning the content of chemical kinetics. It is much easier for students to reproduce presented facts than to work with data in graphical form and draw conclusions based on graphically presented data.