bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy and safety of diode laser for facial hair reduction in hirsutism—a clinico-trichoscopic evaluation
Authors: Rafi Sahiba , Budania Anil , Bhardwaj Abhishek , Singh Saurabh , Bains Anupama , Benny Benetta , Alam Afroz , Karthick Kannan , Agarwal Akriti , Pathania Yashdeep 
Published: November 2023

Abstract

Background:
Hirsutism is the presence of excessive terminal hair on androgen-dependent sites of the body. Lasers like Alexandrite, diode, and Nd:Yag lasers have been used for hair reduction with varying efficacy. Trichoscopy of hair is a simple noninvasive method of hair assessment. However, it has not been used in the assessment of diode laser hair reduction.

Objectives:
This study aimed to assess the efficacy and safety of diode laser hair reduction in skin color with the help of clinical and trichoscopic assessment.

Materials and Methods:
This prospective observational study included 73 patients of hirsutism recruited in 18-month period. All participants received sessions of 805 nm diode laser at monthly intervals up to six sessions. Clinical and trichoscopic evaluation along with photographs were obtained at each visit. Side effects, if any, were noted in every sitting.

Results:
All patients were females of Fitzpatrick skin types III–V. All clinical parameters showed statistically significant hair reduction when compared with baseline. Trichoscopic parameters of hair reduction like total hair count, terminal hair count, and terminal/vellus hair ratio showed reduction compared to baseline which was statistically significant (P < 0.05). The most common side effect noted in our study was pain followed by erythema and perifollicular edema.

Conclusions:
Diode laser is an effective and safe procedure for the reduction of unwanted facial hair, even in darker skin types. We also wish to emphasize that trichoscopy for the assessment of laser hair reduction is a recent, noninvasive, simple, and underutilized tool. No serious adverse events were noted in our study.
Green synthesis of iron oxide nanoparticles from Spermacoce ocymoides Burm.f. plant extracts for targeted lung cancer A549 cell therapy
Authors: Uma Rajalakshmi T. , Esaivani C. , Anantha Kumar T. , Mariselvam R. , Tamil  Selvan G. , Zhang Zhen , M. Alyam Nouf , Mariselvi P. 
Published: November 2023

The present study evaluated the synthesis of iron oxide nanoparticles using Spermacoce ocymoides Burm.f. plant extracts, and the effects of plant based iron oxide nanoparticles on A549 lung cancer cells were investigated to elucidate their impact on cellular morphology, mitochondrial function, and apoptotic pathways. Spermacoce ocymoides plant based iron oxide nanoparticles were characterised by X-ray diffraction, Atomic force microscopy, FTIR, and UV-Vis absorption spectroscopy. Iron oxide nanoparticle treatment caused considerable morphological alterations in A549 cells, including cell shrinkage, detachment, membrane blabbing, and distorted shape, consistent with cellular stress and potential apoptotic events. MMP analysis revealed a dose-dependent decrease in mitochondrial membrane potential, implying that nanoparticles have an effect on mitochondrial function. The presence of reactive oxygen species suggested that oxidative stress was involved in the cellular response to iron oxide nanoparticles. Additionally, DNA fragmentation analysis confirmed the activation of apoptotic pathways, with the nanoparticles themselves serving as a positive control for inducing apoptosis. The observed morphological changes, altered mitochondrial function, ROS production, and DNA fragmentation collectively point towards apoptotic cell death pathways being triggered by the nanoparticles.
KEY WORDS: Spermacoce ocymoides, Iron oxide nanoparticles, A549 cells, Apoptotic
Bull. Chem. Soc. Ethiop. 2024, 38(1), 123-134. DOI: https://dx.doi.org/10.4314/bcse.v38i1.10
Evaluation of physiochemical and electrochemical behaviour of reduced grapheme functionalized copper nanostructure as an effective corrosion inhibitor
Authors: Byeon Haewon , Haribabu K. , Kiradoo Giriraj , S. Sreenivasan V. , Sivaprakash M. , Richard S. , Sunil J. 
Published: November 2023

This study examines the physicochemical properties and corrosion resistance of hydrothermally produced copper oxide-reduced graphene oxide nanocomposite (CuO/rGO). The CuO/rGO nanocomposite has a well-defined and homogeneous structure, decreased crystal size, and uniformly distributed CuO nanoparticles tethered to the rGO. X-Ray diffraction confirms the fabrication of 15.1 nm crystalline monoclinic CuO nanoparticles. EDX confirms the composite's composition by detecting Cu, O, and C components. Electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization (LSV) tests evaluate the CuO/rGO nanocomposite's corrosion resistance. A mild steel plate under an HCl electrolyte with corrosion in the PPM ratio treats the nanocomposite-coated substrate. The composite's synergistic effect is assessed by comparing its corrosion performance to CuO/rGO concentrations in ppm. The corrosion resistance data demonstrate that the CuO/rGO composite improves with inhibitor concentrations of 0, 25, 50, 75, and 100 ppm. Adding rGO to the composite protects it and speeds up charge transfer, reducing corrosion and improving stability. The composite's synergistic effect of CuO and rGO provides excellent corrosion resistance regardless of concentration, making it a viable material for corrosion-prone applications. The research develops novel and effective anti-corrosion methods to preserve materials in the food, automotive, and large-scale energy industries.
KEY WORDS: CuO/rGO nanocomposite, Tafel plot, Corrosion protection, Surface analysis
Bull. Chem. Soc. Ethiop. 2024, 38(1), 269-280. DOI: https://dx.doi.org/10.4314/bcse.v38i1.20
Optimization of parameters for bio-ethanol production from sweet sorghum (Sorghum bicolor (L.) Moench) stalk juice and finger millet malt using Taguchi method
Authors: Okoth Dolphene , Otieno Stephen , Kiema Francis , Onyango David , Kowenje Chrispin 
Published: November 2023

Bio-ethanol is a promising renewable energy but its production is expensive from high cost of feedstocks. In this study, sweet sorghum (Sorghum bicolor (L.) Moench) stalk juice was investigated for bio-ethanol production. Most reports on bio-ethanol productions use commercial Saccharomyces cerevisiae as yeast. However, this study used finger millet (Eleusine coracana) malt with already high adaptation to local conditions and high economic viability as it is being utilized by the indigenous communities. Five sweet sorghum varieties of IESV-92001-DL (V1), NTJ (V2), 15233-IESV (V3), 92008-DJ (V4) and IESV-92028-DL (V5) were planted at 0°3'45.4644" North, 34°17'16.1052" South, in Kenya. °Brix content of juice was determined at 11th to 16th weeks after sowing. Highest °Brix for all varieties were at 15th week where V1 was highest at 22.07. V1 was then harvested for the juice. Factors affecting fermentation; temperature, time, pH and yeast to substrate ratio were optimized using Taguchi method and were obtained as 30 ℃, 48 hours, pH 5 and 5 g/L, respectively. Kinetics parameters of Vmax and Km were 0.35 g/L/h and 12.56 g/L, respectively. The optimized and kinetic parameters were within literature values and therefore finger millet malt has a great potential, as a substitute yeast source, in commercial bio-ethanol production.
KEY WORDS: Bio-ethanol, Sweet sorghum juice, Taguchi method
Bull. Chem. Soc. Ethiop. 2024, 38(1), 55-67. DOI: https://dx.doi.org/10.4314/bcse.v38i1.5
CoMoSAOVA: Computational model for sentiment analysis and online visibility assessment
Authors: Ejodamen P.U. , Ekong V.E. , Asuquo D.E. 
Published: November 2023

The online visibility of a brand, product or organization could influence customers’ decision to patronize it. Online reviews are opinions or emotions of customers that reveal their perception about the product over a period of time. The manual identification of features and sentiments toward an entity is a difficult task. In this study, a computational model was proposed to measure online visibility by mining Twitter data on discourse about a corporate entity – University of The Gambia. The numbers of Twitter posts, followers, followings, likes, retweets, quotes, replies and mentions serves as metrics for online visibility assessment. A linear regression evaluation between the age of the entity’s account and the number of its followers showed 96.81% correlation. This shows that the older an active Twitter account, the higher the chance of increasing its followers and its visibility. Another section of the model predicts the tweet sentiment of the entity’s followers with an accuracy of 93.68% using support vector machine and multilayer perceptron neural network. The computed average sentiment score of the case study was 0.3531996 based on Valence Aware Dictionary of sEntiment Reasoning (VADER) model. This means that positive sentiments were expressed in discussions on various issues where the entity was mentioned. The model will enable decision makers understand the sentiments expressed towards an entity. It also estimates online visibility of the entity based on its number of followers and the accounts’ lifespan. The perceived sentiments will aid better decisions that could advance loyalty to the entity. Future studies would examine other computational models to predict various Twitter features that increases an entity's online visibility.
Production and characterization of plantaricin Y11 from <i>Lactiplantibacillus Plantarum</i> strain y11 (MW642245.1) isolated from Nigerian food samples and their applications in preserving milk
Authors: Adegoke A.A. , Ben U.C. , Fatunla O.K. 
Published: November 2023

Bacteriocin from lactic acid bacterium (LAB) was characterized and its biopreservation assay carried out using conventional methods and integrative approaches. About 66.7% (n=180) of the bacterial strains isolated from twelve different fermented/non-fermented food products were potential LAB strains by biochemical characterization. The highest bacteriocin producing strain was selected and confirmed with 16S rRNA sequencing and submitted to GenBank of National Center for Biotechnology Information as Lactiplantibacillus plantarum strain Y11 (Accession number: MW642245.1). Polymerase Chain Reaction (PCR) revealed the presence of virulence genes (cytotoxin K and haemolysin C) in L. plantarum Y11. The bacteriocin produced was labelled as plantaricin Y11 with molecular weight of 1540 Da, amino acid sequence was NSHGTADYCVMWLIXK, and possessed the merits of wide pH stability (2–10), high thermal stability and sensitivity to protease. The bacteriocin showed wide spectrum of activity against bacterial reference strains with bacteriocin activity ranging from 3200Au/mL to 6400Au/mL. Preservative potentials of the bacteriocin compared favourably with sodium benzoate in milk, inhibiting bacterial and fungal load compared to the control. There was log reduction of aerobic mesophilic bacterial count of 8.02±0.15 and 8.43±0.21 Log 10 CFU/mL in milk treated with plantaricin Y11 and sodium benzoate, respectively. The log reductions of fungal count in plantaricin Y11 and sodium benzoate treated milk ≥4.41±0.11 and ≥3.1±0.2 Log 10 CFU/mL respectively. The plantaricin Y11 was then classified as class IIa in bacteriocin classification schemes and it sustained some organoleptic conditions of milk making it a promising candidate for safe bio-preservatives.
Machine learning approach for classification of <i>Dalium guineense</i> fruits
Authors: Akpan M.G. , George U.D. , Onwe D.N. 
Published: November 2023

Having a mixture of similar items that needs to be separated for processing or for storage is a common challenge. Dalium guineense (DG) is a wild fruit with epicarp that could be broken accidentally or intentionally during harvest or in the course of processing. This research attempts to develop a model for classification of DG fruits into whole fruits and deshelled fruits each with fifteen physical characteristics (Length (l), width (w), thickness (t), geometric mean diameter, arithmetic mean diameter, specific mean diameter, equivalent mean diameter, surface area, aspect ratio, surface area, sphericity, unit mass, lw (product of length and width), lt (product of length and thickness) and wt (product of width and thickness)) using a machine learning approach. A 15-3-2 Neural Network (NN) architecture was used to develop the classification model. The deshelled fruits were all correctly classified while 95 of the whole fruits were correctly classified with 5 of the fruits misclassified. The result shows that the classification model was able to achieve an accuracy of 97.5%, sensitivity of 100%, and precision of 95.2%. Increasing the number of processing elements in the hidden processing layer of the NN contributed no positive effect on the performance of the model. This model is therefore suitable for classification purpose, leading to appropriate processing and handling of DG with high accuracy.
Does Transfer Pricing, Sales Growth, Foreign Ownership, Asset Intensity Affect Tax Avoidance in Energy Companies in Indonesia?
Authors: Laksana Rio dhani , Shaferi Intan , Aydoğmuş İlkay 
Published: November 2023

Tax avoidance measures are carried out because of different interests on the part of the government and the companies, where the government needs to increase state revenues through large tax revenues while the companies want taxes to be as minimal as possible because taxes are a burden that reduces profits. The research aims to examine transfer pricing, sales growth, asset intensity and Foreign Ownership affected on tax avoidance in energy companies in Indonesia. A sample of companies in the energy sector that were listed on the Indonesia Stock Exchange (IDX) between 2020 and 2022 was selected. Descriptive statistical tests, conventional assumptions, multiple regression analysis, and hypothesis testing. According to the test, the findings of this study show that transfer pricing and asset intensity has positive impacts impacts tax avoidance. Sales Growth and Foreign ownership, have a negative impact on tax avoidance
СОВРЕМЕННАЯ ДОЛГОВАЯ ПРОБЛЕМА РОССИИ В КОНТЕКСТЕ РЕГУЛИРОВАНИЯ СОЦИАЛЬНО-ЭКОНОМИЧЕСКОГО НЕРАВЕНСТВА
Authors: Николаева В. Н. , Котенко А. А. 
Published: November 2023

В статье рассмотрено влияние государственного долга на уровень социальноэкономического неравенства. Государственный долг – одна из самых актуальных тем для
России, а также и для других стран мира. Одним из основных отрицательных последствий
государственного долга для социально-экономических процессов является возникновение
неравенства населения. Это связано с тем, что большая часть государственных обязательств
сконцентрирована в руках самых состоятельных слоев населения. В ходе работы был сделан вывод, что корреляция между показателями неустойчива и может изменяться под влиянием других факторов.
ANALISA PERKUATAN LERENG TEBING PADA TEROWONGAN PROYEK PEMBANGUNAN BENDUNGAN LAU-SIMEME KABUPATEN DELI SERDANG PROVINSI SUMATERA UTARA DENGAN METODE “SOIL NAILING GROUT”
Authors: Hulu Rama Anugrah , Ziliwu Piyen Jones Immanuel Yosua , Endayanti Masriani , Napitupul Janner 
Published: November 2023

Tujuan studi ini adlah mengetahui cara menganalisis perencanaan perkuatan tebing pada terowongan Bendungan Lau Simeme Kabupaten Deli Serdang Sumatera Utara dan mengetahui bagaimana mendesain perkuatan lereng tebing pada terowongan Bendungan Lau Simeme Kabupaten Deli Serdang Sumatera Utara. Lokasi penelitian adalah di Bendungan Lau Simeme di Desa Kuala Dekah, Kecamatan Sibiru – biru, Kabupaten Deli Serdang, Provinsi Suamtera Utara. Dalam perencanaan pembangunan Terowongan Bendungan Lau Simeme salah satu nilai parameter yang perlu diperhatikan adalah nilai parameter c (kohesi) dan ɸ (sudut geser dalam) pada batuan yang nilai parameter ini dihasilkan dari pengujian Triaxial. Berdasarkan pengujian Triaxial pada batuan Terowongan Bendungan Lau Simeme dari kedalam 17.00 meter sampai 18.00 meter nilai kohesi (c) = 0,23 kg/cm2dan sudut geser dalam batuan adalah 30.66°. Dari hasil perhitungan perkuatan tebing dengan metode soil nailing grout didapat panjang bor untuk rock bolt 4 m, dengan diameter 25 mm, yang di bor kan kedalam dinding terowongan. Daya dukung 1 rock bolt sebesar =19.635 kg. rock bolt yang berfungsi untuk perkuatan tebing sebanyak 20 rock bolt (nailing). Berdasarkan hasil perhitungan rock bolt 1 pcrb = 20 rock bolt, dengan adanya rock bolt tingkat stabilitas lereng naik menjadi (Safety Factor ) = FK =6,04> 1,3.
ANALISIS STABILITAS LERENG DI DESA PADANG MAS KECAMATAN KABANJAHE KABUPATEN KARO MENGGUNAKAN METODE FELLENIUS
Authors: Waruwu Ryan Ronstani , Telaumbanua Atanasius Anofuli , Endayanti Masriani 
Published: November 2023

Peristiwa longsor di Desa Padang Mas Kecamatan Kabanjahe Kabupaten Karo terjadi pada tanggal 26 Agustus 2021. Bencana ini terjadi menyusul adanya hujan deras yang melanda kawasan ini.. Akibat dampak hujan deras yang melanda sebagian besar wilayah Kabupaten Karo, membuat tebing yang ada di Dusun Lau Bawang Desa Padang Mas Kecamatan Kabanjahe terjadi longsor.Kondisi kestabilan lereng berdasarkan tahapan kondisi kestabilannya dapat dibagi menjadi tiga tahap sebagai berikut: sangat stabil, cukup stabil, tidak stabil. Metode penelitian dibuat dengan model lereng pada kemiringan di atas 45o dengan kondisi lapisan tanah dianggap homogen. Analisa stabilitas menggunakan Metode Fellenius. Metode ini dipilih karena dapat memberikan Angka Keamanan yang rendah dengan perhitungan yang teliti.. Pertimbangan pada areal longsor dalam penentuan kriteria faktor keamanan adalah resiko yang dihadapi, kondisi beban, dan parameter yang digunakan dalam melakukan analisis stabilitas lereng. Penelitian ini memberikan hasil : Dari Uji Direct Shear diperoleh Ø = 28o 59' 35,70", C = 0.086 kg/cm2,. FK = 1,274 < 1,7 lereng labil, lereng dalam kerentanan tinggi, gerakan tanah sering terjadi. Sehingga perlu dilakukan penanganan stabilitas lereng.
PENGUJIAN KUAT TEKAN BETON MENGGUNAKAN BAHAN TAMBAHAN SIKACIM
Authors: Irwansyah Eka , Mutaqin Zainal , Ginting Rahelina , Gultom Adventus 
Published: November 2023

Beton adalah bagian dari campuran antara semen portland, agregat kasar pasir , agregat halus, air dan sika sebagai bahan tambahan (admixture) dengan perbandingan tertentu yang akan membentuk beton segar. Pengerasan beton akan segera terjadi karena adanya peristiwa ikatan antara air dan semen, dimana masa beton akan bertambah kuat seiring dengan bertambahnya umur beton.Saat ini bahan tambahan (admixture) dianggap sebagai bahan penting dalam produksi beton. Pemakaian bahan ini dimaksudkan untuk memperbaiki dan menambahkan bagian beton yang diharapkan. Menggunakan bahan tambah atau campuran kepada beton yang dihasilkan memiliki sifat yang lebih baik.Berdasarkan hasil penelitian tentang beton normal, pengurangan air 10%, dan pengurangan air 20%. Dan sika sebagai bahan tambahan (admixture) agregat pada bagian beton dapat di artikan terdiri dari : Hasil pengujian kuat tekan pada beton normal diperoleh hasil 36,472 MPa, Sedangkan kuat tekan beton dengan penggunaan sika dengan pengurangan air 10% untuk campuran beton waktu umur 28 hari 38,087 MPa, dan hasil kuat tekan dengan pengurangan air 20% dengan campuran beton sika pada umur 28 hari diperoleh 44,476 MPa.Dari hasil pengujian diperoleh bahwa kuat tekan beton yang menggunakan pemakaian penambahan sika 10% ada kenaikan sebesar 1,074 % dan penambahan sika 20% ada kenaikan 1,2 % dari kuat tekan beton normal.
Pengaruh Edukasi Kesehatan Reproduksi Pra Nikah Pada Peningkatan Pengetahuan Remaja Untuk Pencegahan Stunting
Authors: Yamin Khairul , Gumilang Pratiwi Intan 
Published: November 2023

Latar Belakang: Di Provinsi Nusa Tenggara Barat khususnya Kabupaten Lombok Barat, jumlah dan presentasi wanita menurut usia perkawinan pertama persentase yang cukup tinggi terjadi pada umur 16 – 19 tahun sebesar 47,22 %, umur 20 – 29 tahun sebesar 47,01 %, < 16 tahun sebesar 4, 27 % dan umur > 30 tahun sebesar 1, 50 % (BPS Lobar, 2020).
Faktor penyebab pernikahan usia dini di NTB memang sangat kompleks diantaranya pemaksaan dari orang tua atau keluarga dan karena cinta. Sebagian besar remaja menikah belum mencukupi umur dan tidak mendapat ijin dari KUA sehingga kebanyakan menikah di bawah tangan atau lebih dikenal sebagai nikah siri.Tujuan: Penelitian ini untuk menganalisis pengaruh edukasi kesehatan reproduksi pra nikah terhdap tingkat pengetahuan remaja. Metode: Metode penelitian yang digunakan adalah pre eksperimental dengan pre post one grup test design, dengan jumlah sampel sebanyak 30 remaja. Hasil: Terdapat pengaruh edukasi pra nikah dalam meningkatkan pengetahuan remaja. Kesimpulan: Edukasi pra nikah mampu meningkatkan pengetahuan remaja tentang kesehatan reproduksi pra nikah.
Background: In West Nusa Tenggara Province, especially West Lombok Regency, the number and presentation of women according to the age of first marriage is quite high, at the age of 16 - 19 years at 47.22%, at the age of 20 - 29 years at 47.01%, < 16 years old is 4.27% and age > 30 years is 1.50% (BPS Lobar, 2020).
The factors causing early marriage in NTB are very complex, including coercion from parents or family and because of love. Most teenagers who marry are not old enough and do not have permission from the KUA, so most of them marry under the hand, better known as unregistered marriages. Objective: This research analyzes the effect of pre-marital reproductive health education on teenagers' knowledge levels. Method: The research method was pre-experimental with a pre-post one group test design, with a sample size of 30 teenagers. Results: There is an influence of premarital education in increasing teenagers' knowledge. Conclusion: Pre-marital education can increase teenagers' knowledge about pre-marital reproduction health.
ANALISIS KELAYAKAN FINANSIAL KELAPA SAWIT RAKYAT DI KABUPATEN PASAMAN BARAT
Authors: Aznur Tifany Zia , Fadli Akbar Lubis  , Makhrani Sari Ginting  
Published: November 2023

Kelapa sawit mempunyai peran yang cukup strategis dalam. perekonomian Indonesia, akan tetapi perkebunan kelapa sawit rakyat dicirikan oleh berbagai kelemahan seperti lahan yang relatif sempit, diusahakan secara tradisional, produktivitas dan mutu rendah, serta posisi dalam pemasaran hasil lemah Penelitian ini bertujuan untuk mengkaji kelayakan finansial dan sensitivitas usahatani kelapa sawit rakyat di Kabupaten Pasaman Barat. Penelitian dilakukan di Kabupaten Pasaman Barat sebagai sentra produksi kelapa sawit di Provinsi Sumatera Barat. Pengambilan sampel dilakukan secara purposive berdasarkan umur tanaman, yakni umur 1 sampai 23 tahun. Data dianalisis dengan metode analisis deskriptif kuantitatif menggunakan analisis kelayakan melalui pendekatan Benefit-Cost dalam PAM dan analisis sensitivitas. Hasil penelitian menunjukkan bahwa secara finansial, usahatani kelapa sawit rakyat di Kabupaten Pasaman Barat layak dan menguntungkan petani yang dibuktikan dengan nilai B/C sebesar 1,36 dan nilai NPV sebesar 87.225.402,27. Hasil analisis sensitivitas dengan skenario jika pupuk anorganik tidak disubsidi pemerintah menunjukkan adanya penurunan keuntungan petani sebesar 42,3% akan tetapi usahatani kelapa sawit rakyat masih layak untuk tetap diusahakan.