bluuebunny/crossref_metadata_2025 huggingface dataset:
Bal Pazarlama Süreçleri ve Tanıtım Stratejilerine Yönelik Öneriler
Authors: Bilici Fatih , Seren Nebi
Published: February 2025

Bu çalışma, balın pazarlama süreçleri ve tanıtım stratejileri üzerine önerilerde bulunmaktadır. Bal, gıda sektöründe hem popüler bir ürün olarak hem de sağlık ve beslenme yararları açısından önemli bir role sahiptir.
Pazarlama stratejileri, balın üretiminden tüketimine kadar olan tüm süreci ve çeşitli faktörleri içermektedir. Örneğin pazar ve pazarlama araştırması, tüketicilerin bal tercihlerini anlamak ve pazarlama stratejilerini buna göre tasarlamak açısından temel adımlardandır. Bu araştırmalar işletmeler için, bal tüketiminin niceliksel ve niteliksel özelliklerini, balın tüketimini ve hedef kitle taleplerini incelemek, ürünün pazarlama stratejilerini geliştirmek için önemli bir yol göstericidir. Pazar araştırmaları sayesinde, özellikle organik bal, yerel bal ve diğer bal türlerine olan tüketici talepleri araştırılarak, bu farklı türlerin pazarlama stratejileri oluşturulabilmektedir.
Fiyat, kalite ve farklılaştırma stratejileri gibi faktörler tüketicilerin bal tercihlerini etkileyen faktörler arasındadır. Markalama, paketleme ve satış noktaları da balın tanıtımında temel unsurlardandır. Balın orijinalliği ve coğrafi kökeni, bazı tüketiciler için önemli faktörler arasında sayılabilir. Kalite etiketleri ve korunan menşei ismi gibi sertifikalar, tüketicilerin tercihlerini etkileme gücüne sahip değişkenlerdir.
Balın tanıtımı da özellikle Instagram gibi sosyal medya platformları aracılığıyla sıkça yapılabilmektedir. Görsel içerikler ve hikayeler, ürünün cazibesini artırabilmekte ve müşteri ilgisini çekebilmektedir. Balın kalitesinin ve güvenilirliğinin sağlanmasının da pazarlama stratejileri için kritik bir öneme sahip olduğu ifade edilebilir. Ağır metallerin varlığı ve sağlık riskleri gibi konuların araştırılması, tüketicilerin güvenini kazanmaya yardımcı olabilecek konulardır. Ayrıca, tağşişin tespiti ve balın menşe ülkesi gibi faktörler, ürünün güvenilirliğini artırabilmektedir.
Yapılan literatür taramasına göre çıkartılabilecek sonuç ve öneriler balın pazarlanmasında kalite ve güvenilirliğin vurgulanmasının önemli olduğudur. Ayrıca balın uygunluğu, istenmeyen materyallerin yokluğu ve mikrobiyal kontaminasyonun olmaması gibi özellikler öne çıkarılması gerektiği ifade edilebilir. Balın, sağlık yararları ve besleyici değeri de vurgulanmalı, içeriğindeki vitaminler, mineraller ve antioksidanlar tüketicilere aktarılmalıdır. Lezzet ve aroma da tüketicinin tercihini etkileyen önemli faktörlerdir ve ürünün çeşitli botanik kökenleri tanıtılarak çeşitlilik sağlanabilmektedir. Ayrıca HMF içeriği ve raf ömrü, ürünün dayanıklılığını göstermek için vurgulanması gereken konular arasındadır. Bununla birlikte sürdürülebilirlik ve temiz üretim uygulamalarının kullanıldığının vurgulanması, çevre dostu ve sağlıklı ürün arayan tüketicilerin ilgisini çekebilir. Son olarak, ürünün kalitesini kanıtlamak için test ve sertifikasyonlar kullanılabilir, organik bal sertifikaları ve mikrobiyal kalite test sonuçları ürünün kalitesini destekleyebilir.
EDITORIAL: INCLUSIVE STATISTICS EDUCATION WITH DIGITAL RESOURCES
Authors: PETERS SUSAN A. , DE SOUSA BRUNO , TERAN TERESITA , ZAPATA-CARDON LUCIA , FRISCHEMEIER DANIEL
Published: February 2025

A very warm welcome to this Special Issue of the Statistics Education Research Journal (SERJ). For this Special Issue we were interested in scholarly articles addressing the aspects of inclusion and digital resources in statistics education.
Perancangan Augmented Reality Pengenalan Teknik Olahraga Badminton Menggunakan Metode Marker Based Tracking Berbasis Android
Authors: Nabila Najwa Nisa , Khairunnisa Khairunnisa , Sundari Siti
Published: February 2025

Perkembangan teknologi augmented reality telah berkembang semakin pesat dan memiliki potensi yang besar di berbagai bidang seperti olahraga dan pendidikan. Tujuan dari penelitian ini adalah merancang aplikasi augmented reality berbasis android yang mudah diakses oleh pemain dan pelatih untuk mendapatkan teknik olahraga badminton. Sulitnya memahami teknik olahraga badminton dengan secara verbal yang menjadi alasan utama dibuatnya aplikasi augmented reality yang mengenalkan dan mengajarkan teknik olahraga badminton. Saat pengguna mengarahkan kamera perangkat android ke marker yang disediakan, program akan menampilkan animasi 3D diikuti informasi dari teknik yang ditampilkan. Maka dari itu, aplikasi ini diharapkan memberikan pengalaman belajar yang meningkatkan efektivitas bagi pemula yang ingin belajar teknik olahraga badminton. Pengujian dan evaluasi agar memastikan aplikasi dapat digunakan, melakukan pendeteksi marker secara akurat dan menampilkan informasi yang jelas. Hasil dari penelitian ini menujukkan teknologi augmented reality dapat meningkatkan pemahaman pengguna saat mempelajari teknik badminton secara signifikan.
Analisis dan Perancangan Sistem Informasi Manajemen Laboratorium Universitas Harapan Medan dengan Metode Agile
Authors: Sinaga Tantri Hidayati , Hasdiana Hasdiana , Dewi Arie Rafika , Rahayu Eka
Published: February 2025

Masalah pengelolaan laboratorium di perguruan tinggi seringkali dihadapkan pada tantangan seperti kurangnya efisiensi, akurasi data yang rendah, dan kesulitan dalam mengakses informasi yang dibutuhkan. Penelitian ini bertujuan untuk mengatasi permasalahan tersebut dengan mengembangkan Sistem Informasi Laboratorium berbasis web. Metode yang digunakan adalah Agile Scrum untuk memungkinkan pengembangan yang fleksibel dan responsif terhadap perubahan kebutuhan. Hasil penelitian menunjukkan bahwa sistem berhasil mengelola inventaris alat, jadwal praktikum, dan nilai mahasiswa secara terintegrasi. Implementasi sistem ini telah meningkatkan efisiensi pengelolaan laboratorium dan memberikan akses informasi yang lebih mudah bagi pengguna.
Analisis Pengaruh Penambahan Serat Tandan Kosong Kelapa Sawit terhadap Sifat Mekanik Mortar Geopolimer Tanah Liat
Authors: Eowinsyah Eowinsyah , Padilah Adji Febrien
Published: February 2025

With the rapid development of technology, the concrete industry continues to innovate. One effort to produce high quality concrete is by adding alternative ingredients to the concrete mixture. Alternative materials are unused waste that can be recycled to be used in concrete mixtures. The problem that is currently occurring is that there is a lot of by-product waste in palm oil mills that is not being handled optimally, namely Empty Palm Oil Bunches (TKKS) so that with this problem it can be used as a mixture for making concrete or mortar. This research aims to measure the effect of variations in the addition of Palm Oil Empty Bunches Fiber (TKKS) on the compressive strength value of geopolymer clay concrete mortar. The research method used was experimental with variations in composition (TKKS) and fine aggregate of 1:2. The alkali activator used was Na2SiO3 and NaOH with a ratio of 1:1 and a molarity of 12 M. Compressive strength testing was carried out at the age of the specimens at 3, 7, 14, 21 and 28 days. The results showed that the optimum compressive strength was achieved at the age of 28 days with variations the addition of 0.5% fiber is 4.13 Mpa. Variations in fiber addition of 0.8% and 1% produce compressive strengths of 3.60 Mpa and 3.47 Mpa respectively. Based on the research results, it can be concluded that there is a negative correlation between the addition of TKKS and the compressive strength of geopolymer mortar. This decrease in compressive strength is thought to be caused by a decrease in mortar density due to voids formed due to fiber shrinkage.
PENGEMBANGAN AUGMENTED REALITY CANDI MUARA TAKUS BERBASIS ANDROID SEBAGAI PEMBELAJARAN SEJARAH
Authors: Yuliska Yuliska , Fikri Asyrul , Syaliman Khairul Umam , Ardiyanto Ardiyanto
Published: February 2025

Seiring perkembangan teknologi yang semakin pesat, kegiatan memahami sejarah menawarkan berbagai metode eksplorasi yang sangat beragam. Salah satu teknologi yang dapat dimanfaatkan sebagai media pembelajaran Sejarah adalah teknologi Augmented Reality (AR). Teknologi Augmented Reality menunjukkan potensi yang signifikan dalam meningkatkan pengalaman belajar. Pada penelitian ini, peneliti mengembangkan sebuah media pembelajaran Augmented Reality Candi Muara Takus berbasis aplikasi android sebagai media pembelajaran sumber sejarah. Candi Muara Takus adalah satu objek wisata Sejarah Provinsi Riau yang terletak di Kabupaten Kampar. Dengan dikembangkannya Augmented Reality ini, selain menjadi media pengenalan objek wisata, pembelajaran sumber Sejarah Candi Muara Takus juga menjadi lebih mudah dan menyenangkan. Peneliti melakukan dua tahapan pengujian untuk mengevaluasi kualitas Augmented Reality yang telah dikembangkan, yaitu Blackbox dan Usability Testing. Dari Blackbox Testing, Aplikasi Augmented Reality tidak memiliki error dan semua fungsionalitas aplikasi berjalan dengan baik. Dari Usability Testing, disimpulkan bahwa Augmented Reality Candi Muara Takus telah memenuhi kelima aspek pengujian usability dan memiliki nilai usability yang baik yaitu 3.96.
Karakterisasi Biochar dari Tandan Kosong Kelapa Sawit
Authors: Febrina Wetri , Awaluddin Amir , Saryono Saryono , Helwani Zuchra
Published: February 2025

Pada awalnya teknologi biochar berkembang pesat karena manfaatnya dalam meningkatkan kesuburan tanah, memperbaiki struktur tanah, meningkatkan hasil panen dan memperbaiki kondisi tanaman.. Penggunaan biochar saat ini meluas diluar bidang pertanian, diantaranya sebagai bahan bakar alternatif, dan sebagai adsorben dalam pengolahan air limbah. Pemanfaatan limbah pertanian dan perkebunan menjadikan pemanfaatan biochar bermanfaat dalam usaha untuk memperbaiki kondisi lingkungan.  Penelitian ini bertujuan untuk mengetahui dan menganalisis karaktersitik fisikokimia biochar dari tandan kosong kelapa sawit, dan potensinya sebagai adsorben pengolahan limbah cair.  Biochar diaktifkan menggunakan kalium hidroksida (KOH) pada berbagai konsentrasi. EFB yang diaktivasi dengan KOH 3M menunjukkan kapasitas adsorpsi tertinggi dibandingkan dengan yang diaktivasi dengan KOH 2M dan 1M. Hasil ini didukung oleh data tentang gugus fungsi dan struktur pori, yang diamati menggunakan spektroskopi Fourier Transform Infrared (FTIR) dan metode Brunauer-Emmett-Teller (BET).
Identifying the attributes of adherence to tuberculosis treatment in Indonesia: A Delphi study
Authors: Prasetyo Yunus A. , Thanasilp Sureeporn , Preechawong Sunida
Published: February 2025

Adherence to tuberculosis (TB) treatment is essential for achieving successful health outcomes. Establishing a consensus among healthcare professionals regarding the definition and key attributes of adherence to TB treatment is essential. The aim of this study was to explore the perspectives of experts and patients on the attributes of adherence to TB treatment. A total of 20 TB specialists and 10 pulmonary TB patients from various regions in Indonesia participated in a three-round Delphi study designed to categorize and validate these attributes. In the first round, participants were interviewed to gather qualitative insights. In the second and third rounds, experts assessed the level of agreement on identified attributes using a five-point Likert scale. The strength of consensus was measured using the interquartile range (IQR), following the best practices outlined in the Conducting and REporting DElphi Studies (CREDES) guidelines. The experts achieved a substantial consensus, with over 85% agreement on the identified attributes. The findings indicated that adherence to TB treatment encompasses the ability of pulmonary TB patients to follow agreed-upon recommendations, including both medication adherence and lifestyle modifications. These lifestyle changes include improved nutritional care, smoking cessation, abstaining from alcohol, stress management, improved physical activity, better sleep, and rest quality, and preventive behaviors related to TB. In conclusion, the findings enhanced the understanding of adherence to TB treatment by highlighting its multifaceted nature. The consensus emphasized that adherence extends beyond medication-taking behaviors to include essential lifestyle changes, underscoring the comprehensive approach needed to support TB patients effectively.
Nobel Prize in Economics 2024 and Prospects for Institutional Economics
Authors: Vinokurov Stepan
Published: February 2025

The 2024 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel was awarded to D. Acemoglu, S. Johnson and J. Robinson, and was the first prize since 1993 to include a mention of institutions in its rationale. The article discusses the development of research on the relationship between institutions and economic development over the past decades, the contributions of the laureates, the connection with Acemoglu's theory of directed technological change, and the problems and further prospects of the institutional theory of economic development. The main progress has been related to the application of game theory to the analysis of institutions, as well as the use of econometric and other methods to test theoretical hypotheses. As a result, significant changes have occurred in the direction of greater formalization and rigor of institutional analysis. Acemoglu, Johnson, and Robinson have become emblematic of these changes, and a number of their works can be called classic in this regard. Among other things, they proposed a game-theoretic model of the formation and change of political institutions and used the instrumental variables method to demonstrate that institutions cause development, and not vice versa. Acemoglu and his co-authors are often accused of neglecting culture, ideology, the process of creating and disseminating inventions, and of trying to present institutions as the only factor determining all aspects of economic development. Although an analysis of their work paints a more complex picture, this criticism is not unfounded. I show that the theory of directed technological change leads to the conclusion that progress can and should be directed in a direction that is beneficial to society. This means that it depends only on political institutions whether this can be done. The reason for this view lies in the general orientation of institutional development theory to macro-level processes and the long-term perspective. The main challenge facing this line of research is to overcome this attitude and to search for the microfoundations of institutional dynamics and their connection with technological progress.
Regularities of blame in great and middle populations of Ukrain
Authors: Kovalenko Roman , Kalynovskyi Andrii , Nazarenko Sergii , Zhuravskij Maxim
Published: February 2025

The process of fire occurrence in settlements of Ukraine with a population of 50 to 500 thousand people for the period from 2021 to 2023 was studied. The statistical hypothesis that the process of fire occurrence in settlements can be described by statistical laws was tested. It was established that the process of fire occurrence in large and medium-sized settlements of Ukraine in most cases can be described by statistical laws. It was found that for the period of 2021, the process of fire occurrence could be described by Poisson and geometric distribution laws, which in percentage terms is 44 % and 58 % of cases, respectively. There were also cases when, for individual settlements, the specified process could be described by two distribution laws at once, which in percentage terms is 26 % of cases and is not sufficiently clear. It was not possible to establish a single distribution law for 24 % of the studied settlements. For the period of 2022 and 2023, the process of fire occurrence could be described by Poisson, a geometric and exponential distribution law, which in percentage terms for the period of 2022 is 36 %, 64 % and 6 % of cases, and for the period of 2023 – 36 %, 58 % and 2 % of cases, respectively. The number of cases when the mentioned process could be described at once by several distribution laws for the period of 2022 is 24 %, and for the period of 2023 – 16 %. It was not possible to establish any distribution law for the period of 2022 for 20 % of the studied settlements, and for the period of 2023 this indicator was also 20 %. In the future, it is planned to investigate the level of reliability of forecasts of the number of fires when using known forecasting methods during martial law.
Emerging Incidence of Plantar Fasciitis in Adults:
A Cross-Sectional Study
Authors: Joshi Srishti , Rabra Sumedha
Published: February 2025

AIM: This study aims to identify the emerging prevalence of plantar fasciitis in adults.
OBJECTIVE: This study was conducted to investigate the factors leading to plantar fasciitis among adults along with daily activities affected due to it.
METHOD: The pain scale for plantar fasciitis was used for this cross sectional study. A total of 150 questionnaire were sent to adults from age 20 to 30 among which 143 responses were received.
RESULT AND CONCLUSION: The study identified the major activities affected by the pain of plantar fasciitis in adults. Among the 143 responses, majority of adults who suffered pain due to plantar fasciitis were identified to be female adults. Flat foot was also one of the major factor contributing to the pain in PF.

Keywords: Plantar fasciitis, flat foot, pain, daily life activities, survey
Management of Embedded Lingual Holding Arch (Orthodontic Appliance) in Mandibular Arch by Electrocautery: A Case Report
Authors: Gupta Gauranshi , S. Chauhan Shailendra , Sinha Aditya , Sharma Satendra , . Radha
Published: February 2025

Introduction: In dentistry and orthodontics, there is a potential risk of dental instruments, such as orthodontic brackets and wires, becoming accidentally lodged in the aerodigestive tract. Numerous complications related to the ingestion or aspiration of foreign objects have been reported in clinical practice.
Case Report: A 19-year-old female patient, referred from the Department of Orthodontics to the Department of Periodontics, presented with a primary complaint of pain during chewing. The pain was attributed to an embedded lower lingual arch, an orthodontic appliance, which had become lodged due to a failure in the orthodontic treatment. Upon intra-oral examination, bands were observed on the lower first molars in both the right and left quadrants, with no visible signs of inflammation or infection. Radiographic assessment, specifically in the occlusal view, revealed the presence of a wire encircling the bone, indicating the orthodontic appliance's abnormal positioning.
Conclusion: Accidental injuries involving foreign bodies during orthodontic treatment can lead to serious consequences, including the development of dental anxiety and a loss of trust in the orthodontist. To minimize these risks, orthodontists need to carefully evaluate the likelihood of small appliances being ingested, aspirated, or penetrating the oral cavity, as managing such incidents can be difficult within the limited, saliva-filled space of the mouth. These occurrences can have a profound psychological impact on both patients and their families, often leading to fear or reluctance toward future treatment. In many cases, resolving such complications requires the expertise of a skilled surgeon, who must be fully aware of the clinical situation to ensure appropriate management and care.

Keywords: Lingual holding arch, orthodontic therapy, mucosal overgrowth
The Influence of Service Quality and Price Factors on Business Process Satisfaction of PT S
Authors: Suhendra Riky , . Harianto , Taryana Asep
Published: February 2025

Service quality is a fundamental aspect in the service industry because it is directly related to the customer experience. The dimensions of price and service quality which include reliability, responsiveness, assurance, empathy, and tangibles have a vital role in shaping customer perceptions of the services provided. When customer expectations are met through good service quality, this can encourage the creation of sustainable customer satisfaction. The purpose of this study is to determine the service quality and price factors that affect the satisfaction of PT S's business processes.
This research will be held at PT S from September 2024 to October 2024. The type of research is quantitative research. The data collection technique uses primary data. Sample collection using consensus technique. This research uses a Likert scale of 1 to 5. Data analysis using the Structural Equation Model (SEM).
Analysis of the influence of variables on customer satisfaction reveals that the dimensions of tangible, reliability, assurance, empathy, and price have a positive and significant influence. However, the responsiveness dimension, although showing a positive influence, does not have statistical significance on the level of customer satisfaction.

Keywords: Ototronik, SEM, Service Quality, Kepuasan, Harga
The Effect of Plate and Magnetic Field’s Inclination on Fluid Temperature of an MHD Free Convective Poiseuille Flow
Authors: Opiyo Richard , J. Mutia Mbai
Published: February 2025

This study investigated the effect of plate and magnetic field inclination on the fluid temperature of an MHD-free convective Poiseuille flow. The plates were inclined at an angle to the fluid flow, while the magnetic field was inclined at an angle to the -axis. Besides, the fluid was assumed to be viscous, incompressible and could conduct electricity. A suitable mathematical model describing the problem was first formulated from the heat equation. The resultant model was a differential equation and was solved numerically using the shooting technique and the fourth-order Runge-Kutta method implemented in Mathematica Software. Results were graphed and interpreted. The temperature decreased as the magnetic angle of inclination, Eckert number, Prandtl number, and Hartmann number rose; a rising temperature accompanied an increasing Reynolds number. The results are applicable in industries where external magnet is used as a regulatory mechanism.

Keywords: Temperature, free convective, inclination, MHD, poiseuille flow, runge-kutta method.
A Clinical Study to Determine the Effectiveness of Chrysarobinum in 200C Potency in the Treatment of “Tinea Versicolor” Using MYMOP2 Questionnaire
Authors: Sriharitha Ambala , Thanmayi K.
Published: February 2025

Pityriasis Versicolor, also called Tinea Versicolor is a mild, non-contagious, chronic, superficial fungal skin infection caused by lipid-dependent yeast-like fungus Malassezia. Despite being found all across the world, the disease is most common in warm, humid tropical climates. However, even following effective treatment, the disease can frequently recur, which impacts the quality of life of the patient. Homeopathy is highly effective in treating such stubborn and recurrent skin diseases. Chrysarobinum is a remedy that has potential to treat various fungal infections of skin. This study aimed to determine the effectiveness of Chrysarobinum 200 potency in the treatment of Tinea Versicolor, which, according to the statistical result of this study, has been found to be effective.

Keywords: Pityriasis Versicolor, Chrysarobinum, MYMOP2 Questionnaire.
Surgery Versus Conservative Treatment for Carpal Tunnel Syndrome: A Systematic Review and Meta-Analysis
Authors: Pita Loka Made Ayu Devi , Bramantya Karna Made , Gde Yuda Asmara Anak Agung , Christian Stedi Adyana
Published: February 2025

Introduction: The necessity to establish evidence-based criteria for recommending open release surgery in the management of CTS. While conservative treatments are often the initial approach, a subgroup of patients experiences persistent or severe symptoms despite these interventions. This systematic review and meta-analysis aim to synthesize existing evidence on the indication for open release surgery in CTS.
Materials and Methods: The search methodology encompassed diverse synonyms to guarantee thorough exploration of literature across PubMed, Europe PMC, and Clinicaltrials.gov (as of April 20, 2024). This approach aimed to achieve comprehensive coverage and inclusivity in identifying relevant studies, utilizing terms such as "Carpal tunnel syndrome" or "Median nerve compression" in conjunction with "Open carpal tunnel release" or "Carpal tunnel release," as well as "Non-surgical management," "Conservative treatment," "Splinting," "Steroid injections," "Physical therapy," "NSAIDs," "Acupuncture," and "Alternative therapies." Our primary focus centered on the improvement of patient-reported function and the alleviation of symptoms. To assess function, we utilized the Boston Questionnaire, a validated instrument tailored to measure functional outcomes, while for evaluating symptoms, we employed the Carpal Tunnel Syndrome Assessment Questionnaire, specifically designed to gauge symptom severity.
Results: Our analysis encompassed data extracted from 10 research investigations, comprising a collective sample size of 966 patients, involving a total of 1,028 wrists, with 148 of these representing male subjects. We found that functional outcomes were assessed at various intervals, revealing a SMD of 0.29 [-0.21; 0.80] at 3 months (p < 0.01), -0.44 [-0.74; -0.14] at 6 months (p = 0.02), and -0.28 [-0.55; -0.01] at 12 months (p = 0.17).
Conclusion: Open release surgery is considered when conservative measures fail to provide adequate relief from symptoms of carpal tunnel syndrome or when specific indications suggest that surgery would be more appropriate.

Keywords: Carpal tunnel syndrome, open release, indication, symptoms
Robotic Pedicle Screw Placement: A Shortcut to Accurate Stabilization
Authors: Liando Ivan Alexander , Agung Artha Wiguna I Gusti Lanang Ngurah , Arimbawa Ida Bagus Gede , Suyasa I Ketut
Published: February 2025

Introduction: Incorrect placement of traditional freehand pedicle screws may result in dural rupture, nerve damage, and other issues. Robot-assisted pedicle screw insertion has significantly evolved in recent years. However, there were still uncertainty whether robot-assisted treatments are better than freehand approaches in terms of post-operative clinical outcomes. This metanalysis was conducted to compare the short-term clinical outcome between the robotic surgery and free hand screw placement technique.
Methods: Systematic review was conducted with the Preferred Reporting Items of Systematic Reviews (PRISMA) guidelines with studies i from 2018 until 2023. All studies that compared the robotic surgery and freehand pedicle screw placement in spinal surgery will be included. Outcome parameters analyzed were Oswestry disability index (ODI), visual analog scale (VAS) score, duration of surgery, and intraoperative blood loss. Heterogeneity was assessed using I2 test, risk of bias was assessed using funnel plot, and analysis of comparison was done using the Review Manager Version 5.4.
Results: Eight studies involved in this study with total samples of 2,381. Quantitative analysis showed VAS with MD=0.20 95%IC=0.16-0.23 p<0.00001, ODI with MD=4.92 95%IC=4.72-5.12 p<0.00001, duration of surgery with MD=1.73 95%IC=0.85-2.61 p=0.00001, intraoperative blood loss with MD=-8.83 95%IC=(-11.56)-(-6.10) p<0.00001). From the four parameters, it showed statistically significant differences but considerable heterogeneity.
Conclusion: Robotic surgery gave better result in terms of VAS, ODI, duration of surgery, and intraoperative blood loss. However, this study still could not be applied extensively because of the considerable heterogeneity.

Keywords: robotic spine surgery, pedicle screw placement, minimally invasive surgery
CHEMOMETRIC APPROACH TO THE PREDICTION OF POLLUTANTS DISTRIBUTION IN WATER SOURCES AROUND ASHAKA CEMENT INDUSTRY
Authors: Usman H. , Adamu H. , Mohammed I. , Babangida M. I. , Abubakar U. F. , Yuguda A. U. , Sabo A.
Published: February 2025

Cement production can negatively affect nearby water resources. This study used chemometrics to predict the source and distribution of pollution indicators around the Ashaka Cement Industry in Nigeria. Seventy-two water samples were collected from twelve stations between July and October 2023 and analyzed for pH, dissolved oxygen (DO), electrical conductivity (EC), total dissolved solids (TDS), turbidity, salinity, total suspended solids (TSS), chemical oxygen demand (COD), biochemical oxygen demand (BOD), and the BOD/COD ratio using standard methods. Results showed that while most parameters were within WHO limits, elevated TSS and turbidity were observed at all stations, with high salinity at one sampling station. Generally, there were increases in the concentrations of most physicochemical parameters during August and September compared to July and October. Thus, while many individual parameters fell within WHO guidelines, the widespread and persistent issues with TSS and turbidity, along with the localized high salinity, indicate that the water sources were not of consistently good quality. Also, seasonal variations need to be considered in water management.  Multivariate data analysis (PCA, HCA, CA, and DA) using IBM SPSS effectively correlated and classified physicochemical indicators of pollution based on their sources and spatial distribution patterns. This study demonstrates the potential of chemometrics for assessing industrial pollution and provides insights into the relationships between water quality indices and their sources around the cement industry. Thus, this information can guide monitoring and mitigation to minimize the industry's environmental impact around its environs.
AN ANALYSIS OF FACTORS DETERMINING SELECTION OF STOCKS: AN EMPIRICAL STUDY OF INDIAN RETAIL INVESTORS
Authors: Prabha Ravi Mishra
Published: February 2025

In India, investors in stocks. are influenced by financial metrics, psychological biases, market trends, and socio-economic factors. Grasping these helps to explain investors' conduct in the financial jungle of India, as it matures. Metric. Financial data is a major driver of investment choices. For example, retail investors check out a company's financial strength and future prospects by focusing on such key performance indicators as profitability, growth of revenues, and return to equity. They also commonly use measures such as earnings per share and price/earnings ratios, to judge the level of valuation return. Many retail investors are influenced by the herd, following market trends and doing what other people do. Today there are many young "traders" who will take great risks based on advice of unknown origin and lacking any evidence basis. Stock choice is also influenced by demographic factors. Younger investors tend to have it higher and so often favour growth stocks, whereas older people usually prefer stable dividend-paying companies. Higher income and education levels normally are associated with a stronger tendency to invest in shares as a result of greater access to financial information and resources. A sample of 261 was collected from investors with different income slab. The factors that determining selection of stocks are Financial Factors, Behavioral and Psychological Factors, Market and Economic Factors, and External Influences.
Modeling Stock Market Dynamics in the Philippines Through Symbolic Dynamical System
Authors: Liane Vina G. Ocampo
Published: February 2025

The study employs the theory of symbolic dynamical system in modelling stock market in the Philippines. Precisely stock market modeling process is complex and dynamic. The main objective of this paper is to build a model using the following factors namely; peso dollar exchange rate, inflation rate, GDP, un employment rate. These factors are assumed to be the indicators of the
Philippine stock market. In this study we derived the mathematical model of each of those factors. The output of this paper can build a possible programming system or software for forecasting stock market predictions to be more accessible and more accurate since various machine learning approaches have been applied in stock market prediction.
Pradhan Mantri Jan Arogya Yojana (PMJAY): A Study on Awareness among People in Lucknow
Authors: Punit Kumar Kanujiya
Published: February 2025

Purpose: This study aims to assess the level of awareness about the Pradhan Mantri Jan Arogya Yojana (PMJAY) among residents of Lucknow. It also assesses the associations between different demographic variables and level of awareness. By understanding public knowledge and perception, the research seeks to identify gaps in awareness, contributing factors, and potential barriers, ultimately guiding effective outreach and improved healthcare access through PMJAY. It is a government health scheme launched in 2018 to provide free health insurance up to ₹5 lakh per year for low-income families. Covering millions, it offers cashless treatment for serious health issues at both public and private hospitals, aiming to reduce financial strain and improve healthcare access for India’s vulnerable populations.
Methodology: The study is purely based on primary data collected through a structured questionnaire, which was divided into two parts. Part A collected general information about the respondents, while Part B focused on inquiries specific to the research study. The collected data was then analyzed using the chi-square test and the mean value of the questions. 136 respondents responded to the questionnaire.
Result: Respondents were aware of the enrollment procedure, eligibility criteria, document required, insurance claim amount, public and private hospital empanelment, cashless and paperless facilities, coverage of pre-existing illnesses from the enrollment date, requirement of an Ayushman card only for availing services, and provision of secondary and tertiary care hospitalization, but they were unaware of the claim procedure and diseases covered in secondary and tertiary care hospitalization.
Implications: The findings of the study may guide improvements in communication strategies, ensuring the scheme reaches low-income and underserved populations who could greatly benefit from it. Additionally, the study could inform policymakers about socioeconomic and cultural barriers to healthcare access, enabling tailored strategies for urban populations. Overall, the research can support targeted policy adjustments that enhance PMJAY’s reach and impact in urban centers like Lucknow.
Impact of Disruptive Technologies in Developing Countries: A Study on the Indian Economy
Authors: Chandrasekhar Mudraganam
Published: February 2025

Purpose: This research seeks to examine how disruptive technologies affect the Indian economy, emphasizing their influence on different sectors and socioeconomic aspects in developing nations.
Method:  The study employs a mixed-method approach, combining quantitative data from surveys and statistical analysis with qualitative insights from interviews and case studies. It scrutinizes various disruptive technologies like artificial intelligence, blockchain, and the Internet of Things, assessing their adoption rates and impacts on different segments of the Indian economy.
Result and Conclusion: The investigation highlights substantial effects of disruptive technologies on the Indian economy, including enhanced efficiency, productivity, and market competitiveness across sectors. However, challenges such as job displacement, digital disparity, and regulatory issues are also identified. While disruptive technologies hold potential to reshape India's economic landscape, strategic planning and policy interventions are crucial to maximize benefits and manage risks.
Implication of the Research: The study's findings carry implications for policymakers, business leaders, and stakeholders in the Indian economy. Understanding the dynamics of disruptive technologies can aid in crafting policies that stimulate innovation, entrepreneurship, and inclusive development. Additionally, businesses can use these insights to adapt strategies, bolster technological capabilities, and capitalize on emerging opportunities in the digital economy.
Originality/Value:  This research contributes uniquely by focusing on the impact of disruptive technologies within the context of developing nations like India. By addressing the specific challenges and opportunities encountered by such economies, it offers valuable insights into the socioeconomic consequences of technological disruptions. Moreover, the mixed-method approach employed enriches understanding and provides practical implications for academia, industry, and policymaking.
Role of HR in Implementing Social Accountability Standards in the Apparel Industry
Authors: Chetan Bharucha
Published: February 2025

The study attempts at how ethical principles affect workplace commitment, job satisfaction, and employee views. Positive organisational culture is fostered by ethical working practices, which also improve staff retention, motivation, and morale. The study uses statistical analysis to assess how ethical rules relate to important workplace outcomes. According to research, workers who believe their company upholds ethics report greater job satisfaction and are more like to refer their business. Building an organization's reputation and long-term viability requires ethical leadership and open corporate governance. For the stability and expansion of the workforce as a whole, the study highlights the need of incorporating ethical concepts into human resource management.
AI-Driven Predictive Analytics for Early Disease Detection Leveraging Body Sensor Networks and Advanced Machine Learning Models
Authors: D. Padma Priya
Published: February 2025

Early disease detection is very essential in the field of healthcare as a means of intervention early and improving patient outcomes. The paper provides an evaluation of different AI predictive analytics models to use in body sensor networks. The models that the authors have assessed include Deep Learning Ensemble, Attention Mechanism LSTM, Variational Autoencoder, Recurrent Neural Network (RNN), Capsule Networks, Neural Architecture Search, and Federated Learning Model. The evaluation metrics used to assess the models were accuracy, precision, recall, and AUC-ROC. The physiological data for this study consists of signals such as heart rate, body temperature, body acceleration and other physical activity levels recorded by several body sensor networks (BSNs) over time. With over 2000 participants, we ensure that the dataset is rich enough and covers a vast range of demographics and health conditions to provide a good foundation for model generalization. Findings indicate that the Deep Learning Ensemble model performed the best with an accuracy of 95.1 indicating that sophisticated machine learning algorithms can produce high accuracy early disease detection.
An Intelligent Opinion Mining System with the Assistance of Bi-Directional Deep Recurrent Neural Network for Sentiment Analysis
Authors: B P Santosh Kumar
Published: February 2025

Opinion mining, also referred to as sentiment analysis, has been an important research topic for identifying and analyzing opinions in natural language text. Computational linguistics and information retrieval are combined to extract and assess subjective information from textual data in this interdisciplinary field. In this work, I present a Bidirectional Deep Recurrent Neural Network (BDRNN) based framework for sentiment polarity detection. In this work, we propose the Sentiment Analysis using BDRNN (SA-BDRNN) system, which aims to overcome the challenges in extracting unbiased opinions from text corpora. A dataset of labeled sentiments is used for training and evaluation to assure good model performance. Then the framework aims to mine sentiments effectively from source documents and improve the understanding of important contextual information. Finally, the SA-BDRNN system is benchmarked against state of the art methods, including Convolutional Neural Networks (CNN), Support Vector Machines (SVM), and an optimized SVM using Particle Swarm Optimization (SVM-PSO). Experimental results show that the proposed SA-BDRNN framework outperforms the best previous solutions in terms of sentiment classification accuracy and robustness, and hence can be a promising solution to advanced opinion mining applications.
Historical Analysis of The Fiscal Pressure of Ecuador Period 2010 - 2021
Authors: Lorena del Rocío Espín-Balseca
Published: February 2025

The tax burden is the real contribution made by companies and individuals to the government as a percentage of the Gross Domestic Product. The research is oriented to the analysis of the Ecuadorian tax burden in the period 2010 - 2021. For this purpose it was necessary to apply a quantitative, descriptive, explanatory cross-sectional study including the historical and correlational method, it was also necessary to apply statistical techniques such as Bayesian correlation and confirmatory factor analysis. The results reflect that the Ecuadorian fiscal pressure reflects fluctuations, the tax pressure of the central government is the largest component of the fiscal pressure and is reduced from 2016 to 2018, the tax pressure of the subnational government reflects low and constant items, for its part the contribution to social security has variations but remains stable at an average of 5% of GDP. The Bayesian correlation reflects the strength and direction of the linear relationship, highlighting the central government tax burden with the highest and most significant correlation with respect to fiscal pressure. The confirmatory factor analysis suggests that there is a positive relationship between tax burden and GDP growth. In the analysis, the model has an excellent fit, suggesting that the proposed model fits the observed data very well.
Towards Contextual Search Optimization: A Unified Ranking Approach for Relevance Prioritization
Authors: Nirali Arora
Published: February 2025

Achieving relevance in search results is difficult in today's complex information environment, particularly when single-algorithm ranking models find it difficult to account for a variety of user circumstances. In order to improve search relevancy in a variety of circumstances, this study presents a unified ranking strategy that integrates many algorithms. Hybrid system adapts dynamically to user intent and situational details by combining conventional models like BM25 and PageRank with cutting-edge neural techniques like BERT-based transformers and learning-to-rank algorithms. A key component of this strategy is a context recognition mechanism that continuously evaluates user history, query type, and behavioural patterns to fine-tune relevance score according to the particular requirements of every search context. This method, called Contextual Rank, combines algorithmic scores to prioritize relevance, enabling more flexibility and response to user demands. Here presented about the theoretical ramifications, covering problems like scalability and processing needs as well as gains in relevance. The benefits of unified ranking models are highlighted in this paper, opening up new avenues for contextual optimization in recommendation systems and search engines and paving the way for improved user experiences across a range of search settings.
Contemporary Strategies for Managing Organisational Information Security
Authors: Anatolii Benzar
Published: February 2025

Introduction: Due to the growing number and complexity of cyberattacks on organisations in various sectors of the economy, there is an urgent need to find the most modern approaches to information security management. Outdated approaches and counteracting and combating information incidents cannot fully protect organisations from new threats.
Objectives: The article aims to highlight the main trends and features of implementing modern approaches to information security management in organisations.
Methods: The research methodology is based on a descriptive-analytical design and a mixed approach, combining theoretical aspects of information security management and analysis of secondary data on the status and features of implementing modern approaches to information security management in organisations.
Results: The results show that the growing number and complexity of cyber attacks on organisations lead to significant operational, economic, and reputational risks and losses. As a result, more and more companies are implementing approaches to information security management, among which the most common are holistic and risk-based. Legislative changes in the EU in personal data protection have also been one of the main drivers of information security.
Conclusions: The practical value of the work lies in the systematisation of existing trends and peculiarities of implementing modern approaches to the information security management of organisations.
Decentralisation: Exploring Challenges, Opportunities, and Its Role in Strengthening Local Governance
Authors: Grygorii Monastyrskyi
Published: February 2025

Introduction: The topic of decentralisation is highly relevant in public administration reform, as it contributes to increasing the autonomy of local communities and the efficiency of management processes. The importance of decentralisation reforms is significantly growing in the context of ensuring the financial independence of territorial communities and expanding their participation in decision-making.
Objectives: The study aims to analyse the impact of decentralisation on the development of local self-government, the object of which is the territorial communities of Ukraine.
Methods: The research methodology is based on quantitative and qualitative analysis, international experience comparison, statistical data analysis, and sociological surveys.
Results: The study results show that decentralisation strengthens communities' financial autonomy, improving management efficiency and transparency. The study found a positive trend in the share of local budgets in the consolidated budget, which indicates that communities are becoming more financially capable. At the same time, several challenges have been identified, including uneven distribution of resources and insufficient competence of local managers.
Conclusions: The study's practical significance is to formulate recommendations for improving decentralisation processes, including the development of financial equalisation mechanisms, managerial training, and the introduction of digital technologies. The results can be used to improve the efficiency of local self-government and develop policies for sustainable community development.