bluuebunny/crossref_metadata_2025 huggingface dataset:
The Promotion of Biotication in Controlled Fermentation Using Kefir Grains and Kombucha Membranes as Starter Cultures
Authors: Pihurov Marina , Cotârleț Mihaela , Elena Bahrim Gabriela
Published: October 2024

Through the centuries, fermented foods have demonstrated their bioactivity, usefulness, and sustainability in promoting the increase of life quality through multiple actions in vivo and in vitro. Fermented foods, through the complex biotransformation of substrate components, enrich the final products with useful biotics, i.e., prebiotics, probiotic microorganisms, and their metabolites named postbiotics. The artisanal cultures, milk, water kefir grains, and kombucha (SCOBY) membranes are functional and sustainable microbial symbiotic cultures that offer approachable opportunities for obtaining valuable functional foods and ingredients. These consortia are formed by the natural association of the bacteria (lactic acid and acetic acid bacteria), yeasts, and bacteriophages. Various conventional and unconventional substrates can be transformed into functional fermented products based on the complex metabolism of these microorganisms in controlled fermentations targeting the improvement of the biotication, i.e., increase the contents of pre-, pro-, and postbiotics. Thus, the complex biochemical activities of the multiple microorganisms from the natural consortia could be exploited in controlled fermentation conditions to obtain the beneficial effects for in vitro and in vivo features of the obtained fermented products.
Septic Shock and Myocardial Dysfunction
Authors: Algallie Hossam , Banerjee Siddhartha , Kumar Ashish , Rubab Um I. , Kumar Agarwal Anil , Nahid Seema , Shaikh Nissar , Ataur Rahman Mohammad
Published: October 2024

Cardiac dysfunction in sepsis is strongly linked to increased mortality. The pathophysiology of sepsis-induced Myocardial dysfunction is multifaceted, involving impaired myocardial circulation, direct myocardial depression, and mitochondrial dysfunction. Recent studies have emphasized that mitochondrial dysfunction plays a crucial role in sepsis-induced Myocardial dysfunction. Various medications have been utilized to treat sepsis, aiming to prevent and address sepsis-induced cardiomyopathy. Nevertheless, these treatments have not significantly improved patient outcomes. This underscores the need for new therapeutic strategies that target the specific mechanisms of sepsis-induced myocardial dysfunction. Monitoring sepsis-induced cardiac dysfunction is essential, as it significantly impacts the prognosis. To effectively monitor this condition, clinicians use a combination of clinical assessments, hemodynamic monitoring, and echocardiography and biomarkers. Integrating these methods allows for a comprehensive understanding of cardiac function, enabling timely adjustments to treatment plans. Patients with this condition will benefit from established sepsis and septic shock treatments. However, apart from general management with vasopressors, inotropes, and fluid resuscitation, there is limited data and a lack of evidence regarding more specific treatments. This chapter provides an overview of the current understanding of the pathophysiological processes involved in sepsis-related cardiac dysfunction and the impact of monitoring and current management in sepsis-induced Myocardial dysfunction.
Customization of the Auer–Cesa-Bianchi–Fisher UCB Strategy for a Gaussian Two-Armed Bandit
Authors: Ershov M. , Kolnogorov A. , Voroshilov A.
Published: October 2024

We consider a two-armed bandit problem in relation to data processing if there are two alternative processing methods with different a priori unknown efficiencies. One has to determine the most efficient method and ensure its preferential use. We consider batch data processing when all the data is divided into batches. For the control, we present the batch version of the UCB strategy which was first introduced by P. Auer, N. Cesa-Bianchi and P. Fisher. We develop two approaches to the invariant description of the control process on the horizon equal to one. The first approach allows us to compute a regret using Monte-Carlo simulations and the second approach provides the analytical formalism for solving a recursive Bellman-type dynamic programming equation. Numerical results show the high efficiency of the presented strategy.
Empowering Mothers: Self-efficacy Strategies and Fluoride Varnish Therapy Behavior in Preschool Children
Authors: Heidari Paria , Siabani Soraya , Siabani Saba , Mahaki Behzad , Heidari Negar
Published: October 2024

Background: Oral health poses significant challenges, particularly among preschool children, emphasizing the critical role of mothers in preventive care. Self-efficacy, as a determinant of behavior, holds promise in shaping oral health practices. Objectives: The present study was conducted to determine the effect of Bandura's self-efficacy strategies on the fluoride varnish therapy behavior of mothers of preschool children. Methods: This intervention study, conducted from 2021 to 2023, involved 88 mothers with children aged 3 to 6 years. Participants were randomly divided into intervention and control groups. Data collection included a demographic questionnaire, a researcher-developed self-efficacy assessment tool, and an observational checklist of mothers' fluoride varnish therapy behavior. The intervention comprised educational sessions focusing on self-efficacy strategies. Data were analyzed with descriptive and inferential statistics in SPSS software version 20. Results: Before the intervention, there were no significant differences in self-efficacy scores between the intervention and control groups (Cohen's d = 0.18). Similarly, there were no significant differences between the two groups in the varnish therapy behavior score of the mother before the intervention (Cohen's d = 0.05). However, two months later, significant improvements were observed in both self-efficacy scores (Cohen's d = 2.28) and fluoride varnish therapy behavior (Cohen's d = 3/32) among mothers in the intervention group compared to controls. Conclusions: This study underscores the pivotal role of self-efficacy strategies in empowering mothers to effectively engage in fluoride varnish therapy behavior, and highlights the significant improvements observed in both self-efficacy and varnish therapy behavior that emphasize the educational interventions aimed at enhancing mothers' self-efficacy, ultimately contributing to improved oral health outcomes for children.
Effect of Oral Powder Preserving Probiotic Lactobacillus casei Extract on the Lipid Profile in Hyperlipidemic Rat
Authors: Saadatzadeh Afrooz , Mehdialamdarlou Sanaz , Nouralizadeh Reza , Mard Seyyed Ali , Rezaei Anahita
Published: October 2024

Background: Hypercholesterolemia is a critical risk factor for cardiovascular diseases. Although there is no cure for it, controlling lifestyle factors such as diet and exercise is essential. One potential approach for treating hypercholesterolemia is developing novel delivery platforms incorporating probiotics. Probiotics have been shown to significantly reduce lipid profiles due to their antioxidant properties. Objectives: In this study, the researchers investigated the effects of oral supplementation with the lyophilized probiotic extract (LPE) of Lactobacillus casei on reducing lipid profiles in hyperlipidemic rats fed a fatty diet and fructose. Methods: This study involved 40 adult male Wistar rats, randomly divided into five groups: A negative control, a sham, and three treatment groups (T1, T2, and T3). The rats in the treatment groups received doses of 60, 120, and 240 mg/mL of LPE, respectively. Hyperlipidemia was induced in all groups by administering a mixture of 0.5% cholesterol, 30% tallow, and 20% fructose. The LPE supplementation was given orally once a day for two weeks. After the treatment period, blood samples were taken from all the rats 15 days later. Results: The results indicated that hyperlipidemia led to a significant increase in total blood cholesterol levels, including TG, LDL, and ALP (P < 0.001). Lyophilized probiotic extract supplementation significantly decreased total blood cholesterol levels (P < 0.05). Conclusions: The study demonstrated that LPE can reduce lipid levels and have a hypolipidemic effect in hyperlipidemic rats. Additionally, histopathology showed that a 540 mg/kg dose of LPE had an effective liver-protective effect.
PENGARUH CURRENT RATIO (CR), DEBT TO ASSET RATIO (DAR), TOTAL ASSET TURNOVER (TATO) TERHADAP RETURN ON ASSET (ROA)
Authors: Sudiyono Rachma Nadhila , Hartati Ria
Published: October 2024

Penelitian ini bertujuan untuk mengetahui pengaruh current ratio¸debt to asset ratio dan total asset turnover terhadap return on asset pada PT. Unilever Indonesia Tbk periode 2006-2022. Penelitian ini menggunakan metode kuantitatif. Metode analisis data yang digunakan berupa metode deskriptif, metode kuantitatif terdiri dari uji Asumsi klasik, Analisis Regresi Linier Berganda, dan Uji hipotesis terdiri dari uji parsial (t), uji simultan (F) dan uji koefisien determinasi (Adjusted R-Square). Hasil penelitian ini menunjukan bahwa secara parsial tidak berpengaruh terhadap return on asset, dilihat dari nilai thitung ttabel (-3.317 1.99773). Debt to asset ratio tidak berpengaruh terhadap return on asset, dilihat dari nilai thitung ttabel (-3.614 1.99773). Aktivitas total asset turnover berpengaruh terhadap profitabilitas, dilihat dari nilai thitung ttabel (34.536 1.99773). Secara simultan melalui Uji F didapat nilai Fhitung Ftabel (456.209 2.75) maka dapat disimpulkan secara bersama-sama current ratio, debt to asset ratio dan total asset turnover berpengaruh terhadap return on asset. Adapun hasil koefisien determinasi sebesar sebesar  0.953 atau 95.3% terhadap return on asset sedangkan sisanya sebesar 0.047 atau 4.7% dipengaruhi oleh faktor-faktor lain yang tidak digunakan dalam penelitian ini.Kata Kunci : Current Ratio, Debt to Asset Ratio, Total Asset Turnover, Return on Asset
PENGARUH DIGITAL MARKETING DAN PERSONAL SELLING TERHADAP LOYALITAS KONSUMEN PERENCANAAN KEUANGAN
Authors: Rizfie Muhammad Dala
Published: October 2024

Kebutuhan akan profesi perencana keuangan akan semakin meningkat. Hal ini disebabkan meningkatnya kompleksitas produk-produk keuangan yang ditawarkan dalam rangka meningkatkan kualitas hidup keluarga dalam hal merencanakan mulai dari kebutuhan pengelolaan arus kas keluarga, menabung, investasi, pengelolaan dana pendidikan anak, hingga perencanaan pensiun. Digital marketing dan personal selling tentunya dapat membantu para pengusaha perencanaan jasa keuangan dalam menawarkan jasanya. Tujuan penelitian ini adalah untuk mengetahui pengaruh digital marketing dan personal selling terhadap loyalitas konsumen jasa perencanaan keuangan. Metode penelitian yang dipakai adalah pendekatan kuantitatif denagn desain penelitian asosiatif yang menggunakan data primer berupa pemberian kuesioner kepada 100 responden Hasil dari penelitian ini adalah digital marketing secara parsial tidak bepengaruh signifikan terhadap loyalitas konsumen, sedangkan personal selling berpengaruh signifikan terhadap loyalitas konsumen. Adapun secara simultan digital marketing dan personal selling berpengaruh signifikan terhadap loyalitas konsumen jasa perencanaan keuangan.
PENGGUNAAN SOLOLEARN UNTUK MENINGKATKAN KOMPETENSI DI DUNIA KERJA DI UNIVERSITAS INSAN PEMBANGUNAN INDONESIA
Authors: Haryanto Budi
Published: October 2024

Kompetensi di dunia kerja adalah salah satu faktor yang menentukan saat penerimaan karyawan baru di dunia IT, untuk hal tersebutlah pembelajaran untuk meningkatkan kompetensi sangatlah dibutuhkan di dunia pengajaran bagi mahasiswa di universitas insan pembangunan indonesia, aplikasi sololearn memberikan hasil kompetensi berupa sertifikasi secara gratis untuk bisa digunakan sebagai penanda pencapaian atas kompetensi tertentu bagi mahasiswa.Kata Kunci: Pembelajaran, Kompetensi, Sololearn
PENGARUH LINGKUNGAN KERJA DAN MOTIVASI KERJA TERHADAP KINERJA KARYAWAN SECURITY SERVICE PT. ISS INDONESIA
Authors: Sulaeman Dede
Published: October 2024

Tujuan dari penelitian ini adalah untuk mengetahui bagaimana Pengaruh Lingkungan Kerja dan Motivasi Kerja Terhadap Kinerja Karyawan Security Service PT. ISS Indonesia. Jenis data yang digunakan merupakan data primer yang diperoleh dari hasil kuisioner yang disebarkan kepada karyawan security PT. ISS Indonesia yang terletak di Mall Puri Indah, dengan jumlah sampel 89 responden. Variabel dalam penelitian ini terdiri dari dua variabel independen yaitu Lingkungan Kerja dan Motivasi Kerja serta variabel dependen yaitu Kinerja Karyawan. Metode analisis data menggunakan uji validitas dan reliabilitas data serta uji asumsi klasik, yaitu uji korelasi, koefisien determinasi, uji hipotesis dan analisis regresi. Hasil penelitian menemukan bahwa uji regresi berganda diperoleh persamaan Y= 17.473 + 0.187X1 + 0.286X2. Konstanta sebesar 17.473 menyatakan bahwa tanpa adanya lingkungan dan motivasi maka kinerja berbentuk sebesar 17.473. Nilai uji korelasi atau r sebesar 0.449 nilai ini menunjukan bahwa secara simultan pengaruh lingkungan kerja (X1) dan motivasi(X2) terhadap kinerja karyawan (Y) artinya bahwa terdapat hubungan yang kuat. Nilai R square yaitu sebesar 0.202 yang artinya bahwa secara simultan lingkungan kerja dan motivasi memberika kontribusi terhadap kinerja sebesar 20.2% sedangkan sisanya sebesar 79.8% dipengaruhi oleh variabel lain yang tidak diteliti dalam penelitian ini. Hasil uji hipotesis diperoleh nilai F hitung 10.863 F tabel 2.711 dengan signifikan 0.000 0.05 dengan demikian Ho ditolak dan Ha diterima, artinya secara simultan atau bersama – sama lingkungan kerja dan motivasi kerja berpengaruh positif dan signifikan terhadap kinerja karyawan security service PT. ISS Indonesia.Keywords: Lingkungan Kerja, Motivasi Kerja, Kinerja Karyawan
Sistem Informasi Pelayanan dan Pencatatan Sipil Di Loket Konsultasi Dinas Kependudukan Dan Pencatatan Sipil XYZ Berbasis WEB
Authors: Prasetyawati Okti Fiana , Suwita Jaka , Winanti Winanti , Suseno Bayu
Published: October 2024

Dinas Kependudukan dan Pencatatan Sipil (Disdukcapil) adalah Dinas yang masuk dalam kategori proses Pelayanan Administratif yaitu Adminstrasi Dokumen Kependudukan (Adminduk). Mekanisme pengurusan dokumen di Disdukcapil XYZ dapat dilakukan secara mandiri melalui daring atau online dan luring atau offline. Mekanisme proses yang dilakukan pada loket konsultasi dilakukan secara luring atau offline  yaitu pemohon datang secara langsung ke Kantor Disdukcapil XYZ. Petugas melakukan pencatatan identitas dan permasalahan adminduk menggunakan buku besar. Pengarsipan berkas persyaratan yang berupa fisik  memerlukan waktu dalam proses pencarian ketika berkas tersebut dibutuhkan. Berkas persyaratan yang berupa fisik juga memerlukan penanganan khusus agar terhindar dari kerusakan. Melihat masalah yang ada, maka diperlukan sistem yang dapat membantu dalam proses pelayanan dan pencatatan di loket konsultasi yaitu Sistem Informasi Pelayanan Dan Pencatatan Sipil Di Loket Konsultasi Pada Dinas Kependudukan Dan Pencatatan Sipil XYZ Berbasis Web. Metode pengembangan sistem yaitu menggunakan System Developtment life cycle (SDLC) model waterfall. Metode pengujian sistem menggunakan metode black-box testing.  Dengan adanya inovasi ini Disdukcapil XYZ khususnya bagian loket konsultasi lebih tertata dalam hal penanganan konsultasi dan pengarsipan dokumen permohonan
Pengaruh Motivasi dan Gaya Kepemimpinan Terhadap Kepuasan Kerja Karyawan pada PT. XYZ
Authors: Mahulae William Hagri Golda , Novitasari Dewiana , Winanti Winanti
Published: October 2024

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh motivasi dan gaya kepemimpinan terhadap kepuasan kerja karyawan pada PT XYZ. Salah satu upaya untuk meningkatkan kepuasan kerja karyawan dengan mengelola secara optimal motivasi dan gaya kepemimpinan yang ada, agar tujuan organisasi atau perusahaan dapat tercapai. Sampel yang diambil pada penelitian ini yakni karyawan pada PT XYZ berjumlah 100 responden, data dikumpulkan dengan menggunakan metode kuesioner yang diisi oleh para responden. Data yang terkumpul selanjutnya diuji menggunakan uji instrumen, yaitu: uji validitas dan uji reliabilitas, lalu data yang valid dan reliabel selanjutnya akan diuji dengan uji statistik deskriptif, dilanjutkan lagi dengan uji asumsi klasik, yaitu: uji normalitas, uji multikolinieritas dan uji heteroskedastisitas. Kemudian di uji lagi dengan uji korelasi (parsial dan simultan), uji koefisien determinasi (parsial dan simultan), uji regresi (sederhana dan berganda) serta terakhir dilakukan uji hipotesis, yaitu: uji t dan uji F yang dilakukan pada tingkat signifikansi 5% atau α = 0,05.  Berdasarkan data yang diperoleh, dapat disimpulkan bahwa adanya pengaruh motivasi dan gaya kepemimpinan terhadap kepuasan kerja karyawan pada PT XYZ. Dimana dapat dilihat dari nilai koefisien korelasi simultan sebesar 0,754 hal ini menunjukan bahwa tingkat korelasi memiliki pengaruh yang kuat. Nilai koefisien determinasi sebesar 0,568 artinya variabel motivasi dan gaya kepemimpinan memiliki pengaruh terhadap variabel kepuasan kerja karyawan sebesar 56,80% dan sisanya sebesar 43,20% dipengaruhi oleh variabel lainnya yang tidak ada dalam penelitian ini. Sedangkan hasil uji hipotesis secara simultan menunjukan pengaruh yang signifikan karena F hitung F tabel (63,740 3,09).
Manajemen Perubahan Pengelolaan SDM Operasi Di Perum LPPNPI dengan Penerapan Fatique Risk Management System Untuk Mencapai Visi Perusahaan
Authors: Dewi Wulan Rahma , Robbyan Ridho -
Published: October 2024

Manajemen perubahan pengelolaan SDM Operasi memiliki peranan penting di dalam perusahaan untuk mempertahankan dan meningkatkan pelayanan keselamatan penerbangan, Perum Lembaga Penyelenggara Pelayanan Navigasi Penerbangan Indonesia (LPPNPI). FRMS sebagai usaha untuk mengatasi kelelahan pada karyawan operasional di Perum LPPNPI dengan mengelola faktor risiko kelelahan, terutama terkait kegiatan fisik, kegiatan selama waktu luang atau istirahat, dan pengaturan jadwal tidur. Tujuan dari penelitian ini untuk mengetahui penerapan FRMS di Perum LPPNPI terhadap peningkatan keselamatan penerbangan sebagaimana SMS (Safety Management System) yang telah diwajibkan untuk sebagian besar bidang di industri penerbangan. Penelitian ini menggunakan metode deskriptif kualitatif dengan menggunakan pendekatan analisis dokumen dan metode pengumpulan data yang dilakukan melalui wawancara dan observasi partisipatif melibatkan 29 Cabang Perum LPPNPI di berbagai wilayah kerja di Indonesia. Berdasarkan hasil penelitian yang dilakukan, penerapan FRMS di Perum LPPNPI dapat mendorong karyawan untuk berkinerja lebih baik,meningkatkan keselamatan penerbangan, dan mengarahkan organisasi sesuai dengan visi dan tujuan perusahaan.
The concept of “reality” in Russian and Chinese linguistics: a comparative analysis of terminology
Authors: Кан Я. , Бородина М.А.
Published: October 2024

в статье анализируются и сопоставляются понятия термина «реалия» в русском и китайском языках с позиции лингвистики. Отмечая наличие группы терминов, определения которых сближают понятие «реалия» с безэквивалентной и национально культурной лексикой, в китайском языке употребляются такие термины: «культурные слова», «культурно-нагруженные слова», а также и другие. Авторы делают сравнительный анализ подходов к терминологии, связанной с понятием «реалия», систематизируют взгляды российских и китайских лингвистов на определения этих терминов и общие черты рассматриваемых терминов. Обращаясь к этимологии термина, рассматривается его постепенное расширение сначала российскими исследователями, а затем китайскими. Выделяются знаковые определения в словарях, представляются исследования, выполненные Г.Д. Томахиным, С.И. Влаховым, С.П. Флориным, указывается трехуровневая система А.А. Кретова и Н.А. Фененко; уточняется понятие реалии, выполненное Е.М. Верещагиным и В.Г. Костомаровым. В китайской лингвистике выделяются следующие термины: 文化词汇 (культурные слова), 文化负载词 (культурно-нагруженные слова), 国俗词汇 (слова национальной традиции). Даются некоторые примеры китайских реалий, в частности, инь и ян, дракон, туфли, сваха, пять элементов и др.

the article analyzes and compares the concepts of the term “reality” in Russian and Chinese from the perspective of linguistics. Noting the presence of a group of terms whose definitions bring the concept of “reality” closer to an equivalent and nationally cultural vocabulary, such terms are used in the Chinese language: “cultural words”, “culturally loaded words”, as well as others. The authors make a comparative analysis of approaches to terminology related to the concept of “reality”, systematize the views of Russian and Chinese linguists on the definitions of these terms and the common features of the terms under consideration. Turning to the etymology of the term, its gradual expansion is considered, first by Russian researchers, and then by Chinese ones. Iconic definitions in dictionaries are highlighted, studies performed by G.D. Tomakhin, S.I. Vlakhov, S.P. Florin are presented, the three-level system of A.A. Kretov and N.A. Fenenko is indicated; the concept of reality, performed by E.M. Vereshchagin and V.G. Kostomarov, is clarified. In Chinese linguistics, the following terms are distinguished:文化词汇 (cultural words), 文化负载词 (culturally loaded words), 国俗词汇 (words of national tradition). Some examples of Chinese realities are given, in particular, yin and yang, dragon, shoes, matchmaker, five elements, etc.
On the syntactic functions of verbal forms of the Chechen language
Authors: Сулейбанова М.У. , Дударова Л.М. , Асхабова Л.А.
Published: October 2024

синтаксические функции различных отглагольных форм в нахских языках многообразны. Их описания, производившиеся только в прикладных целях и с позиций русской грамматики, знающей в этой области лишь дифференцированные формы причастий и деепричастий, значительно осложняют исследование этой темы. Сделан вывод: Данные формы в лингвистической литературе, как правило, квалифицируются как причастия (ОФ на –a/y, ОФ на -на)и деепричастия (ОФ на -ш, ОФ на -ий, ОФ на -на), а ОФ на –ний в этой связи вовсе упускается из виду. Такая дифференциация ОФ по многим причинам представляется не-удовлетворительной, т.к., отнесение ОФ на -на к разряду причастий и деепричастий одновременно противоречиво, если допускать их существова-ние как независимых категорий. Кроме того, все ОФ могут (наряду с инфи-нитивом) выполнять функцию глагольной части составного сказуемого, совпадая здесь по синтаксическому значению.

the syntactic functions of various verbal forms in Nakh languages are diverse. Their descriptions, made only for applied purposes and from the standpoint of Russian grammar, which in this area knows only differentiated formsof participles and gerunds, significantly complicate the study of this topic. The conclusion is drawn: These forms in the linguistic literature, as a rule, are qualified as participles (VF with -a/u, VF with -na) and gerunds (VF with -sh, VF with -iy, VF with -na), and in this regard, the VF on –niy is completely overlooked. This differentiation of the VF seems unsatisfactory for many reasons, sinceclassifying the VF on -na as participles and gerunds is at the same time contradictory, if we assume their existence as independent categories. In addition, all VFs can (along with the infinitive) perform the function of the verbal part of compound predicate, coinciding here in syntactic meaning.
Smart Cities
Authors:   Parliamentary Office of Science and Technology, Kearney Philippa , Harriss Lydia
Published: October 2024

"Smart cities" describes places that incorporate a range of technologies (especially those that collect and use data) to address economic, social, and environmental challenges. Projects usually take place in urban areas, but are also deployed in rural settings. This POSTnote looks at smart city innovation in the UK and the technologies involved. It considers the factors driving the adoption of smart city technologies, and the potential benefits, barriers and risks associated with their implementation.
Stem Cell Therapy For Men’s Vitality: A Comprehensive Review And Meta-Analysis
Authors: Susanti Vinski Deby , Quintosa Jaime Rodriguez , Trofimova Svetlana , Nugroho Andi Kurniawan , Vinski Natasha Cinta , Hardjo Marhaen
Published: October 2024

One of the many potential benefits of stem cell therapy is that it may enhance men’s vitality by addressing conditions such as erectile dysfunction and hypogonadism. The current comprehensive review and meta-analysis evaluate the efficacy, safety, and mechanisms of stem cell therapy in improving male sexual health. Data from previously published clinical trials, reviews, and preclinical studies indicate that stem cell therapy significantly enhances erectile function, increases testosterone levels, and improves sperm quality. The regenerative potential of mesenchymal stem cells (MSCs), including their ability to differentiate into various cell types and secrete bioactive molecules, underpins these benefits. Additionally, MSCs modulate the immune response, reducing inflammation and promoting tissue repair. Despite these promising results, current research is limited by heterogeneity among studies, lack of long-term data, and the absence of standardized treatment protocols. Future research can focus on large-scale randomized controlled trials with standardized protocols to validate the long-term efficacy and safety of stem cell therapy. The results of the review support the potential of stem cell therapy as a novel approach in regenerative medicine, offering innovative solutions for men’s health and vitality. Addressing the current limitations and exploring future directions will pave the way for the clinical adoption of stem cell therapy, advancing the treatment options for conditions affecting men’s vitality and improving the quality of life for millions of men worldwide.
IoT based energy aware local approximated MapReduce fuzzy clustering for smart healthcare data transmission
Authors: V. Umadevi  , S. Ranganathan
Published: October 2024

Big Data is a collection of large amount used to store and to process for future use. Internet of Things (IoT) technology is used in smart home, smart healthcare. IoT has limited resources like processing capability and supplied energy. Many researchers carried out their research on resource optimized data clustering in bigdata environment. But, the computational complexity and energy consumption was not reduced by existing techniques. Therefore, IoT based Energy Aware Local Approximated Fuzzy MapReduce Clustering (IoT-EALAFMRC) Method is introduced. The main objective of IoT-EALAFMRC Method is introduced to perform an efficient priority based data transmission in smart healthcare environment. Initially, IoT devices are used to collect the large number of patient data in different location at a same time. During data transmission, there is a chance of traffic occurrence. In order to reduce the traffic occurrence rate during the data transmission to the physician (i.e., doctor), Energy Aware Local Approximated Fuzzy MapReduce Clustering is used with map and reduce function to group the patient data into normal constrained data or emergency constrained data based on physical health condition with higher clustering accuracy. IoT-EALAFMRC Method performs the cluster assignment based on neighborhood relationships among data. After clustering of patient data, the data is sent to the physician with minimum time consumption. Through minimizing the traffic, retransmission of patient data gets reduced. This in turn helps to reduce the energy consumption. Experimental evaluation is carried out using IoT-EALAFMRC Method on factors such as energy consumption, clustering accuracy and execution time for different number of patient data.
RPL-eSOA: Enhancing IoT network sustainability with RPL and enhanced sandpiper optimization algorithm
Authors: Kavitha V  , Panneer Arokiaraj S.
Published: October 2024

The internet of things (IoT) encompasses extensive networks of interconnected devices, playing a crucial role in various applications. However, managing these networks presents significant challenges, particularly in cluster head selection, which is critical for energy efficiency and sustainability. To eradicate these challenges, this paper combines the capability of routing protocol for low-power and lossy networks (RPL) with an enhanced sandpiper optimization algorithm (e-SOA) to dynamically optimize network configurations. This combination, termed RPL-eSOA, improves energy management and extends network longevity while maintaining robust communication pathways. Through simulation and comparative analysis, RPL-eSOA demonstrates superior performance in enhancing network lifetime and operational efficiency compared to traditional methods. It achieved a 100% packet delivery ratio (PDR) and significantly reduced latency to 475 ms.
A bigdata analytics method for social media behavioral analysis
Authors: Muhammed Jouhar K. K.  , K. Aravinthan
Published: October 2024

Twitter on web-based entertainment has become an important part of everyday life. This medium provides a list of current events in real time, most of which is difficult to understand, so it must be sorted to find useful information. Human biology, pharmacology, and experimental factors influence their behavior. Twitter tweets are a text store that can reflect human emotions and sentiments. Behavior Analytics (BA) is analyzing the behavior of individuals. BA can be used to filter useful information from tweets in healthcare and business applications. This paper presents the analysis of human behavior using Twitter data and a proposed Social Media Behavior Analysis Big Data Analytics (BASMBA) algorithm. The proposed algorithm uses several techniques in its preprocessing, feature selection, and classification of tweets using BIGDATA. Additionally, the accuracy of the algorithm is verified using the precision factor and recovery time.
An improved social media behavioral analysis using deep learning techniques
Authors: Muhammed Jouhar K. K.  , Dr. K. Aravinthan
Published: October 2024

Most online users share their opinions and comments or give their valuable feedbacks on a variety of subjects. Public opinions and comments in social media have had great impact on social and political systems. This vast information can be reviewed and analyzed. As this online information grows in numbers it requires efficient processing. Thus, this information can be mined or analyzed effectively, making it a suitable candidate for data mining. Twitter’s micro blogging service has more than 250 million active users who post short messages about any topic. This vast information is a meaningful source of information regarding different aspects of. This paper proposes to mine and extract information from tweets called IBADL (Improved Behavioral Analysis using Deep Learning), the goal of the proposed technique is to mine information through the study of the tweets posted and conduct an analysis for drawing meaningful conclusions about the behavior of Twitter users.
Novel deep learning assisted plant leaf classification system using optimized threshold-based CNN
Authors: Mufeeda V. K.  , R. Suganya
Published: October 2024

In general, plant classification systems can be a beneficial tool in agriculture, especially when identifying plant types in a systematic what's more, sensible way. Already, plant breeders relied on observation and experienced personnel to distinguish plant varieties. However, some plants, such as leaves and branches, have nearly identical characteristics, making identification difficult. Therefore, there is a need for a system that can solve this problem. Therefore, this study focuses on the characterization of plant leaves using convolution neural network (CNN) techniques. The main idea of this paper is to propose a new deep learning-based model for plant leaf classification. Initially, preprocessing is done using RGB-to-grayscale conversion, histogram equalization, and median filtering to improve the image quality required for further processing. The results show that with the activation layer of the algorithm, 15-layer network design and a trial-training ratio of 70-30, the plant leaf classification system can achieve 90% classification accuracy of coriander and parsley with an error rate of 0.1. Furthermore, due to its high accuracy, the system can be extended to other uses such as identifying plant diseases and species.
Hybridization of bio-inspired algorithms with machine learning models for predicting the risk of type 2 diabetes mellitus
Authors: Raja S  , Nagarajan L.
Published: October 2024

Type 2 diabetes mellitus is a chronic condition that affects millions of people worldwide. Predicting the risk of developing this disease is critical for early intervention and prevention. Bio-inspired algorithms and machine learning models have shown promising results in predicting the risk of type 2 diabetes mellitus. In this paper, we will explore the use of these two approaches and their hybridization to improve the accuracy of risk prediction. The first section will introduce bio-inspired algorithms and their application in predicting the risk of type 2 diabetes mellitus. We will discuss the advantages of using these algorithms and their limitations. The second section will focus on machine learning models and their potential in predicting the risk of type 2 diabetes mellitus. We will also discuss the limitations of this approach. The final section will compare and contrast the two approaches and explore how their hybridization can overcome their limitations and improve the accuracy of risk prediction. Overall, this paper aims to provide an in-depth analysis of the use of bio-inspired algorithms and machine learning models in predicting the risk of type 2 diabetes mellitus and their hybridization to improve their accuracy.
Crop yield prediction in diverse environmental conditions using ensemble learning
Authors: M. Menaha  , J. Lavanya
Published: October 2024

Precise assessment of crop yield is a vital component in agricultural planning and decision-making, having immediate consequences for food security and allocation of resources. This study presents a new approach for predicting agricultural output in different climatic conditions by integrating the xgboost algorithm with the Whale Optimization Algorithm (WOA). XGBoost is a kind of ensemble learning method that enhances the accuracy of predictions by combining the results of many weak learners. However, the performance of the system may be significantly affected by the selection of suitable hyper parameters and feature subsets. To address this problem, we use the WOA algorithm, a nature-inspired optimization approach that mimics the foraging behavior of humpback whales. This technique is used to improve the parameters of xgboost and discover the most influential features. We evaluate the proposed model by using extensive datasets that include a diverse array of crops, soil compositions, climatic conditions, and geographic regions. The results suggest that the xgboost-WOA model outperforms traditional machine learning models in terms of both projected accuracy and efficiency. Furthermore, the suggested method showcases robust and reliable performance across different environmental circumstances, highlighting its potential for practical use in precision agriculture. This research emphasizes the effectiveness of combining AdaBoost with WOA for forecasting agricultural output. Furthermore, it contributes to the development of advanced predictive systems to support sustainable agricultural operations in adapting to climate variations and changing environmental conditions.
A critical review of social media advertising literature: Visualization and bibliometric approach
Authors: Nitika  , Chaudhary Kuldeep
Published: October 2024

This bibliometric analysis delves into the landscape of research on "social media advertising" spanning from 2012 to 2023, presenting significant findings that shed light on the field's evolution and scholarly contributions. The study observes a consistent annual growth rate of 6.5%, indicating a sustained interest in exploring the ever-changing realm of social media advertising. Notably, the relatively young average document age of 4.28 years reflects the proactive nature of researchers in keeping pace with contemporary developments. The analysis highlights the substantial impact of research efforts in this domain, with an average citation count of 58.01 per document and an extensive total number of references amounting to 7,073. The significant international co-authorship percentage of 34% emphasizes the global outlook of the discipline and the collaborative nature of knowledge creation across borders. Among academic sources, the "Journal of Research in Interactive Marketing" emerges as a prominent contributor, with notable influence demonstrated by its 12 documents and 698 citations. Other influential journals such as "Computers in Human Behavior" and "Internet Research" follow closely behind. Additionally, the study identifies leading authors and organizations in the field, particularly highlighting the dominant role of the United States in research productivity, international collaboration, and overall research impact. In summary, this bibliometric analysis offers a comprehensive overview of social media advertising, showcasing its growth, international collaboration, focus on contemporary research, and substantial influence. These insights hold significance for researchers, institutions, and policymakers, shaping the future trajectory of this dynamic field and ensuring its continued relevance and global impact.
Combination of financial literacy, strategic marketing and effective human resource for sustainable household wealth development
Authors: Raghvendra  , Tulika Saxena  , Saurabh Verma  , Rashi Saxena  , Smita Dron  , Shilpi Singh
Published: October 2024

Financial literacy encompasses not only knowledge of financial terminology and basic concepts but also the ability to comprehend, analyse, and make informed decisions about financial options. As individuals navigate a complex financial environment characterized by new products, market complexities, and global influences, the need for financial literacy becomes paramount. In the contemporary financial landscape, the concept of financial literacy has garnered increasing attention due to its profound implications for individual and societal prosperity. This study delves into how financial literacy, combined with strategic marketing and effective human resource management, contributes to sustainable household wealth development, examining its impact on prudent decision-making, effective financial planning, and the ability to respond to economic dynamics.
The present study encompasses a mixed-methods approach, combining quantitative and qualitative research techniques. A structured questionnaire including Likert scale questions, is administered to a diverse sample of participants, ensuring representation across various demographics. The survey aims to gauge the current level of financial literacy, understand financial behaviours, and assess the impact of financial literacy on decision-making related to wealth management. Data analysis involved both quantitative and qualitative methods, such as percentage analysis, to identify level and relations, and qualitative content analysis to derive themes and narratives from responses. Drawing on research findings, the study explored the linkage between financial literacy and sustainable wealth development, shedding light on its multifaceted influence on financial behaviours, investment choices, and overall economic well-being
Examining the relationship between motivation and incentives in the context of maternal health awareness: A study of Asha workers in Uttarakhand
Authors: Kandpal Kamna , Dutta Piyashi , Ravichandran P.Sasikala
Published: October 2024

ASHA workers have been facing deprivation in the context of remuneration. The incentive paid to the ASHA workers is not sufficient for the amount of work ASHA workers are performing in the fields tirelessly. Several newspapers like The Times of India, Deccan Herald, and The Hindu etc., have covered the issues that ASHA workers have raised despite their dedication towards their services. ASHA workers have also gone for strikes citing their poor conditions. Jain et al. (2022) have constructed an earnings projection model and incentive structure that affect the motivation of community health workers. The ground-level issues pertain to challenges such as lack of motivation due to less incentive for the tasks performed.  During the COVID-19 pandemic, Community health workers continued to provide services ranging from vaccinations to folic tablets to pregnant women. This paper discusses the plight of the community health workers (ASHA) in the select villages of Bageshwar district in Uttarakhand. The cross-sectional study was conducted from Feb 2021 to Aug 2023 in Bilonasera, Kathayatbara, and Manyura Mafi of Bageshwar districts. The field study discusses the narratives of the challenges and issues faced by grassroots-level workers. The study highlights the case –studies of the issues faced by the community health workers. Further, content analysis of the newspapers was done to explore the issue and reach the investigation. The study also presents recommendations on reforms in the wage structure and benefits to the accredited social health activists (ASHA).
The craft of portfolio construction in estate planning: A comprehensive review on equity and mutual fund strategies, and its risks
Authors: Pillarsetti Vijai , K. Madhava Rao
Published: October 2024

Investing in equity and mutual funds can play a significant role in estate planning, helping individuals grow their wealth while ensuring that their financial legacy is effectively managed and passed on to heirs. Understanding how these investment vehicles function within an estate plan can lead to more strategic decision-making and better outcomes for beneficiaries. As popular means of investing, Equity and Mutual funds have drawn a variety of investors looking for portfolio diversity and expert management. This summary gives a general review of Equity & mutual funds, looking at their features, advantages, and drawbacks. It examines the major investment options, including stock, and balanced funds, as well as the primary variables affecting their performance. The hazards linked to equity & mutual funds, such as market risk, liquidity risk, and regulatory risk, are also highlighted in this abstract. This abstract seeks to provide readers with an in-depth understanding of Equity & Mutual funds so they may make informed financial decisions.
Barriers to last mile connectivity: The role of crime in metro station accessibility
Authors: Kanwar D Singh  , Rashmi Ashtt
Published: October 2024

The accessibility of metro stations is a crucial aspect of urban mobility, yet last-mile connectivity often faces significant barriers, particularly due to crime and safety concerns. This study examines the role of crime as a determinant of last-mile connectivity to metro stations, focusing on how criminal activities and the fear of crime influence commuter behavior and accessibility. Through a mixed-methods approach, the research integrates quantitative analysis of crime data around metro stations with qualitative insights from commuter surveys and interviews with urban planners and law enforcement officials. The findings reveal that higher crime rates and perceived safety risks significantly reduce commuters' willingness to use metro systems, particularly during early morning and late evening hours. This reduced accessibility not only hampers the efficiency of metro systems but also exacerbates issues related to traffic congestion, environmental pollution, and social inequality. The study further explores the economic impact of crime on areas surrounding metro stations, highlighting how declining property values and business activity contribute to a cycle of disinvestment and increased crime. To address these challenges, the study suggests a comprehensive approach combining enhanced surveillance, improved lighting, community engagement, and urban design interventions. These strategies are critical for creating safer, more accessible environments that encourage the use of public transportation and promote sustainable urban development. The research provides valuable insights for urban planners, policymakers, and scholars interested in improving last-mile connectivity and enhancing the overall quality of urban life.
STRATEGI PENGELOLAAN KAWASAN EKOWISATA MANGROVE DI PANTAI HAMADI KOTA JAYAPURA
Authors: Adii Min , Rumahorbo Basa T , Manalu Janviter
Published: October 2024

Konsep pengelolaan ekowisata mulai dipandang penting mengingat banyaknya kerusakan lingkungan akibat aktivitas wisata. Ekowisata menjadi salah satu pilihan untuk memperkenalkan lingkungan yang terjaga alamnya, sekaligus sebagai kawasan kunjungan wisata dan pengembangan lingkungan berbasis pemeliharaan dan konservasi alam. Saat ini hutan mangrove di Pantai Hamadi dan Kampung Tobati, sebagai destinasi ekowisata di Kota Jayapura, belum dikelola dengan baik sehingga diperlukan suatu strategi pengelolaan kawasan ekowisata mangrove pada lokasi tersebut. Penelitian ini bertujuan untuk menyusun  strategi pengelolaan kawasan ekowisata mangrove di Pantai Hamadi Kota Jayapura dengan menggunakan pendekatan kualitatif dengan analisis deskriptif dan analisis SWOT. Sejalan dengan konsep pengembangan ekowisata berbasis masyarakat maka strategi pengembangan yang disusun difokuskan pada penguatan potensi daerah dan kapasitas masyarakat setempat serta mengurangi atau meminimalisir kekurangan yang ada di daerah tersebut.  Strategi dalam pengelolaan kawasan ekowisata mangrove di Pantai Hamadi Kota Jayapura adalah pengembangan ekowisata berbasis masyarakat dengan dukungan pemerintah melalui instansi terkait, menyediakan sarana dan prasarana pendukung yang memadai, meningkatkan partisipasi masyarakat dalam berbagai kegiatan kegiatan yang berhubungan dengan hutan mangrove dan pariwisata, serta sosialisasi kegiatan ekowisata bagi masyarakat.
PENGARUH MOTIVASI DAN KOMPENSASI TERHADAP KINERJA PEGAWAI DI DINAS PERDAGANGAN KOTA METRO
Authors: Marzuki  , Hakim Lukmanul
Published: October 2024

Dinas Perdagangan Kota Metro menghadapi tantangan dalam meningkatkan kinerja dan motivasi pegawai. Meskipun terdapat peningkatan kontribusi sektor perdagangan terhadap PDRB, disiplin kerja dan kompetensi pegawai masih perlu ditingkatkan. Ketidakpastian status kepegawaian non-ASN dan ketidaksesuaian kompensasi dapat mempengaruhi motivasi dan kinerja. Sistem pengurangan TPP diterapkan untuk mendorong peningkatan kinerja pegawai ASN. Evaluasi SAKIP menunjukkan peningkatan nilai dari tahun ke tahun, mencerminkan upaya instansi dalam mencapai tujuan dan sasaran yang ditetapkan. Pra survei terhadap pegawai menunjukkan bahwa kompensasi dan motivasi memiliki pengaruh signifikan terhadap kinerja. Untuk mengatasi masalah ini, dinas perlu fokus pada implementasi sistem penilaian yang lebih baik dan penyesuaian kompensasi sesuai standar untuk menciptakan lingkungan kerja yang mendukung efektivitas dan motivasi pegawaI. Melalui analisis regresi linier berganda terhadap data survei, temuan menunjukkan bahwa motivasi dan kompensasi secara bersama-sama berdampak signifikan terhadap kinerja. Secara individu, motivasi dan kompensasi juga memberikan kontribusi positif terhadap kinerja. Sekitar 53.8% variasi dalam kinerja pegawai dapat dijelaskan oleh motivasi dan kompensasi. Hasil ini memberikan wawasan penting bagi manajemen dalam merancang kebijakan yang dapat meningkatkan motivasi dan kompensasi pegawai, serta meningkatkan kinerja individu dan organisasional.